{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "c:\\note\\IntroToDatasci\\.conda\\Lib\\site-packages\\tqdm\\auto.py:21: TqdmWarning: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html\n",
      "  from .autonotebook import tqdm as notebook_tqdm\n"
     ]
    }
   ],
   "source": [
    "from sentence_transformers import SentenceTransformer\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "c:\\note\\IntroToDatasci\\.conda\\Lib\\site-packages\\huggingface_hub\\file_download.py:139: UserWarning: `huggingface_hub` cache-system uses symlinks by default to efficiently store duplicated files but your machine does not support them in C:\\Users\\sorra\\.cache\\huggingface\\hub\\models--sentence-transformers--all-mpnet-base-v2. Caching files will still work but in a degraded version that might require more space on your disk. This warning can be disabled by setting the `HF_HUB_DISABLE_SYMLINKS_WARNING` environment variable. For more details, see https://huggingface.co/docs/huggingface_hub/how-to-cache#limitations.\n",
      "To support symlinks on Windows, you either need to activate Developer Mode or to run Python as an administrator. In order to activate developer mode, see this article: https://docs.microsoft.com/en-us/windows/apps/get-started/enable-your-device-for-development\n",
      "  warnings.warn(message)\n"
     ]
    }
   ],
   "source": [
    "modelPath = \"embedding_model\"\n",
    "\n",
    "model = SentenceTransformer('all-mpnet-base-v2')\n",
    "model.save(modelPath)\n",
    "model = SentenceTransformer(modelPath)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "from spark_setup import create_spark_session, load_data, file_paths\n",
    "from pyspark.sql import functions as F"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "spark = create_spark_session()\n",
    "\n",
    "# Load Spark data\n",
    "dataframes = load_data(spark, file_paths)\n",
    "spark_details = {\n",
    "    \"SparkSession\": \"In-Memory\",\n",
    "    \"SparkContext\": str(spark.sparkContext),\n",
    "    \"Spark UI\": spark.sparkContext.uiWebUrl,\n",
    "    \"Version\": spark.version,\n",
    "    \"Master\": spark.sparkContext.master,\n",
    "    \"AppName\": spark.sparkContext.appName\n",
    "}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "df = dataframes[\"geospatial_clustering_data\"]\n",
    "titles = df.select(\"title_x\").rdd.flatMap(lambda x: x).collect()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[Row(_c0=0, Unnamed: 0_x=0, publication_id='998a43f1-b808-46c9-8a11-e0edddcadb8a', affiliation_id=60029445, header='University of Minnesota Twin Cities', city='MN', country='United States', title_x='Wer Viewership and Queer Imag(in)ing: Thai Soap Opera Shadow of Love and Boys Love Media', publication_year='2024', Unnamed: 0_y='0', title_y='Wer Viewership and Queer Imag(in)ing: Thai Soap Opera Shadow of Love and Boys Love Media', abstract='This article brings film/media theory into Southeast Asian research through a revisionist queer approach. It contains two goals: addressing some recent developments about queer imag(in)ing in Thai media whilst reappraising the fundamental question of spectatorship via screen theory. Taking into account the more general issue of media specificity and the particular textual device of identity/gender-switch in several recent Thai television serials, we propose the notion of wer viewership: a mode of viewing practice that features viewer-text interaction through the perceptual-cognitive processes, and is characterised by wer/excessive aesthetics, multiple meanings, and diverse pleasures. Resonant with camp reading, wer viewership underlines how the viewer actively makes sense of the ambiguities about gender, particularly those along the extra-/diegetic interface. We use Thai soap opera Shadow of Love to illuminate the wer/excessive aesthetics rendered through its identity/gender play bordering on the extra-/diegetic divide, and the enhanced pleasures and meanings thus available to its extradiegetic active viewers. We stress, though, the expanded queer imag(in)ing in Shadow is not of total free interpretation, but is animated in relation to both the evolving discourses about gender/sexuality in Thailand, and the popularising homoerotic Boys Love (BL) media across Asia in recent years. © Chulalongkorn University, 2024.', combined_text='Wer Viewership and Queer Imag(in)ing: Thai Soap Opera Shadow of Love and Boys Love Media  This article brings film/media theory into Southeast Asian research through a revisionist queer approach. It contains two goals: addressing some recent developments about queer imag(in)ing in Thai media whilst reappraising the fundamental question of spectatorship via screen theory. Taking into account the more general issue of media specificity and the particular textual device of identity/gender-switch in several recent Thai television serials, we propose the notion of wer viewership: a mode of viewing practice that features viewer-text interaction through the perceptual-cognitive processes, and is characterised by wer/excessive aesthetics, multiple meanings, and diverse pleasures. Resonant with camp reading, wer viewership underlines how the viewer actively makes sense of the ambiguities about gender, particularly those along the extra-/diegetic interface. We use Thai soap opera Shadow of Love to illuminate the wer/excessive aesthetics rendered through its identity/gender play bordering on the extra-/diegetic divide, and the enhanced pleasures and meanings thus available to its extradiegetic active viewers. We stress, though, the expanded queer imag(in)ing in Shadow is not of total free interpretation, but is animated in relation to both the evolving discourses about gender/sexuality in Thailand, and the popularising homoerotic Boys Love (BL) media across Asia in recent years. © Chulalongkorn University, 2024.', cluster='6'),\n",
       " Row(_c0=1, Unnamed: 0_x=2, publication_id='0b554e30-f32a-4e26-8dcf-6831bab2875e', affiliation_id=60104301, header='Nazarbayev University', city='Astana', country='Kazakhstan', title_x='Robust Supervisory Control for Automated Manufacturing Systems with Minimal Decentralized Switch-Buffer Controllers', publication_year='2024', Unnamed: 0_y='3', title_y='Robust Supervisory Control for Automated Manufacturing Systems with Minimal Decentralized Switch-Buffer Controllers', abstract=\"Automated manufacturing systems require effective supervisory control mechanisms to ensure their efficient operation and prevent fatal errors. Majority of the deadlock supervisory control policies for automated manufacturing systems are formulated based on the presupposition that the systems' resources are all reliable. However, in actuality systems' resources experience failure. Deadlocks and blockages could still occur in a system with failure-prone resources to which a supervisory controller is deployed if a failure-prone resource in the system fails. Extra buffers (redundant buffers) are usually used on production floors to store work-in-process parts in order to prevent deadlocks or blockages caused by the failure of failure-prone resources. However, additional buffers signify extra costs to the enterprise. To this end, this paper presents a robust supervisory control framework for automated manufacturing systems that utilizes minimum amount of decentralized buffer units and switch controllers, viz., switch-buffer controllers. The policy combines control places computed to prevent deadlocks in the system and switch-buffer controllers to prevent deadlocks/blockages in the event of failure-prone resource failure. Both the plant and the proposed supervisory controller are modeled using Petri nets. Examples are used to validate and demonstrate the effectiveness of the proposed approach. Furthermore, the results, compared with some existing techniques, indicate that the proposed technique has more advantages over them. © 2013 IEEE.\", combined_text=\"Robust Supervisory Control for Automated Manufacturing Systems with Minimal Decentralized Switch-Buffer Controllers  Automated manufacturing systems require effective supervisory control mechanisms to ensure their efficient operation and prevent fatal errors. Majority of the deadlock supervisory control policies for automated manufacturing systems are formulated based on the presupposition that the systems' resources are all reliable. However, in actuality systems' resources experience failure. Deadlocks and blockages could still occur in a system with failure-prone resources to which a supervisory controller is deployed if a failure-prone resource in the system fails. Extra buffers (redundant buffers) are usually used on production floors to store work-in-process parts in order to prevent deadlocks or blockages caused by the failure of failure-prone resources. However, additional buffers signify extra costs to the enterprise. To this end, this paper presents a robust supervisory control framework for automated manufacturing systems that utilizes minimum amount of decentralized buffer units and switch controllers, viz., switch-buffer controllers. The policy combines control places computed to prevent deadlocks in the system and switch-buffer controllers to prevent deadlocks/blockages in the event of failure-prone resource failure. Both the plant and the proposed supervisory controller are modeled using Petri nets. Examples are used to validate and demonstrate the effectiveness of the proposed approach. Furthermore, the results, compared with some existing techniques, indicate that the proposed technique has more advantages over them. © 2013 IEEE.\", cluster='9'),\n",
       " Row(_c0=2, Unnamed: 0_x=3, publication_id='93e8dd90-5e13-423f-b2d2-c362a7da2cb9', affiliation_id=60031780, header='Thai Red Cross Agency', city='Bangkok', country='Thailand', title_x='Association of PNPLA3 risk variant with steatotic liver disease among lean people with HIV mono-infection', publication_year='2024', Unnamed: 0_y='4', title_y='Association of PNPLA3 risk variant with steatotic liver disease among lean people with HIV mono-infection', abstract=None, combined_text='Association of PNPLA3 risk variant with steatotic liver disease among lean people with HIV mono-infection  ', cluster='5'),\n",
       " Row(_c0=3, Unnamed: 0_x=6, publication_id='4ba78171-27b1-4af1-94c7-87845c85b922', affiliation_id=60018465, header='Yanshan University', city='Hebei', country='China', title_x='Polyethylene Glycol-Protected Zinc Microwall Arrays for Stable Zinc Anodes', publication_year='2024', Unnamed: 0_y='5', title_y='Polyethylene Glycol-Protected Zinc Microwall Arrays for Stable Zinc Anodes', abstract='Aqueous zinc-ion batteries promise good commercial application prospects due to their environmental benignity and easy assembly under atmospheric conditions, positioning them as a viable alternative to lithium-ion batteries. However, some inherent issues, such as chaotic zinc dendrite growth and inevitable side reactions, challenge the commercialization progress. In this work, we imprint highly ordered zinc microwall arrays to regulate the electric field toward uniform Zn deposition. Afterward, coating a polyethylene glycol protection layer on the zinc microwalls aims to passivate the surface defects that rise unintentionally by mechanical imprinting. Polyethylene glycol can also boost oriented Zn deposition along the (002) plane and inhibit hydrogen gas production, further enhancing the stability of such three-dimensional (3D) hybrid anodes. Compared to the messy electric field near the polyethylene glycol-protected Zn foil, the uniform electric field provided by these 3D hybrid anodes can regulate the Zn deposition behaviors, enabling a longer lifespan and thus certifying the necessity of adding 3D microstructures. Additionally, 3D microstructures can offer a larger surface area than that of the planar Zn foil, providing more reaction sites and higher specific capacity. In this case, the 3D hybrid electrode exhibits a good initial capacity of approximately 120 mA h/g at a current density of 5 A/g and a nice retention of more than 80% after 800 cycles. The proposed scheme paves the way for a long-term stable 3D zinc anode solution with promising application prospects. © XXXX The Authors.', combined_text='Polyethylene Glycol-Protected Zinc Microwall Arrays for Stable Zinc Anodes  Aqueous zinc-ion batteries promise good commercial application prospects due to their environmental benignity and easy assembly under atmospheric conditions, positioning them as a viable alternative to lithium-ion batteries. However, some inherent issues, such as chaotic zinc dendrite growth and inevitable side reactions, challenge the commercialization progress. In this work, we imprint highly ordered zinc microwall arrays to regulate the electric field toward uniform Zn deposition. Afterward, coating a polyethylene glycol protection layer on the zinc microwalls aims to passivate the surface defects that rise unintentionally by mechanical imprinting. Polyethylene glycol can also boost oriented Zn deposition along the (002) plane and inhibit hydrogen gas production, further enhancing the stability of such three-dimensional (3D) hybrid anodes. Compared to the messy electric field near the polyethylene glycol-protected Zn foil, the uniform electric field provided by these 3D hybrid anodes can regulate the Zn deposition behaviors, enabling a longer lifespan and thus certifying the necessity of adding 3D microstructures. Additionally, 3D microstructures can offer a larger surface area than that of the planar Zn foil, providing more reaction sites and higher specific capacity. In this case, the 3D hybrid electrode exhibits a good initial capacity of approximately 120 mA h/g at a current density of 5 A/g and a nice retention of more than 80% after 800 cycles. The proposed scheme paves the way for a long-term stable 3D zinc anode solution with promising application prospects. © XXXX The Authors.', cluster='1'),\n",
       " Row(_c0=4, Unnamed: 0_x=8, publication_id='4ba78171-27b1-4af1-94c7-87845c85b922', affiliation_id=60022148, header='University College London', city='London', country='United Kingdom', title_x='Polyethylene Glycol-Protected Zinc Microwall Arrays for Stable Zinc Anodes', publication_year='2024', Unnamed: 0_y='5', title_y='Polyethylene Glycol-Protected Zinc Microwall Arrays for Stable Zinc Anodes', abstract='Aqueous zinc-ion batteries promise good commercial application prospects due to their environmental benignity and easy assembly under atmospheric conditions, positioning them as a viable alternative to lithium-ion batteries. However, some inherent issues, such as chaotic zinc dendrite growth and inevitable side reactions, challenge the commercialization progress. In this work, we imprint highly ordered zinc microwall arrays to regulate the electric field toward uniform Zn deposition. Afterward, coating a polyethylene glycol protection layer on the zinc microwalls aims to passivate the surface defects that rise unintentionally by mechanical imprinting. Polyethylene glycol can also boost oriented Zn deposition along the (002) plane and inhibit hydrogen gas production, further enhancing the stability of such three-dimensional (3D) hybrid anodes. Compared to the messy electric field near the polyethylene glycol-protected Zn foil, the uniform electric field provided by these 3D hybrid anodes can regulate the Zn deposition behaviors, enabling a longer lifespan and thus certifying the necessity of adding 3D microstructures. Additionally, 3D microstructures can offer a larger surface area than that of the planar Zn foil, providing more reaction sites and higher specific capacity. In this case, the 3D hybrid electrode exhibits a good initial capacity of approximately 120 mA h/g at a current density of 5 A/g and a nice retention of more than 80% after 800 cycles. The proposed scheme paves the way for a long-term stable 3D zinc anode solution with promising application prospects. © XXXX The Authors.', combined_text='Polyethylene Glycol-Protected Zinc Microwall Arrays for Stable Zinc Anodes  Aqueous zinc-ion batteries promise good commercial application prospects due to their environmental benignity and easy assembly under atmospheric conditions, positioning them as a viable alternative to lithium-ion batteries. However, some inherent issues, such as chaotic zinc dendrite growth and inevitable side reactions, challenge the commercialization progress. In this work, we imprint highly ordered zinc microwall arrays to regulate the electric field toward uniform Zn deposition. Afterward, coating a polyethylene glycol protection layer on the zinc microwalls aims to passivate the surface defects that rise unintentionally by mechanical imprinting. Polyethylene glycol can also boost oriented Zn deposition along the (002) plane and inhibit hydrogen gas production, further enhancing the stability of such three-dimensional (3D) hybrid anodes. Compared to the messy electric field near the polyethylene glycol-protected Zn foil, the uniform electric field provided by these 3D hybrid anodes can regulate the Zn deposition behaviors, enabling a longer lifespan and thus certifying the necessity of adding 3D microstructures. Additionally, 3D microstructures can offer a larger surface area than that of the planar Zn foil, providing more reaction sites and higher specific capacity. In this case, the 3D hybrid electrode exhibits a good initial capacity of approximately 120 mA h/g at a current density of 5 A/g and a nice retention of more than 80% after 800 cycles. The proposed scheme paves the way for a long-term stable 3D zinc anode solution with promising application prospects. © XXXX The Authors.', cluster='1')]"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Number of Selected Indices: (3,)\n",
      "Top 10 Titles: ['Factors affecting repositioning policy compliance: an integrative review', 'Identification, Management, and Outcomes of Combination Antiretroviral Treatment Failure in Adolescents with Perinatal Human Immunodeficiency Virus Infection in Asia', 'Development and Validation of a Pan-Genotypic Real-Time Quantitative Reverse Transcription-PCR Assay To Detect Canine Distemper Virus and Phocine Distemper Virus in Domestic Animals and Wildlife']\n",
      "Last 10 Titles: ['Factors affecting repositioning policy compliance: an integrative review', 'Identification, Management, and Outcomes of Combination Antiretroviral Treatment Failure in Adolescents with Perinatal Human Immunodeficiency Virus Infection in Asia', 'Development and Validation of a Pan-Genotypic Real-Time Quantitative Reverse Transcription-PCR Assay To Detect Canine Distemper Virus and Phocine Distemper Virus in Domestic Animals and Wildlife']\n"
     ]
    }
   ],
   "source": [
    "import numpy as np\n",
    "from sklearn.metrics.pairwise import cosine_similarity, euclidean_distances\n",
    "\n",
    "\n",
    "embeddings = np.load(\"embeddings.npy\")\n",
    "\n",
    "input = \"Game\"\n",
    "\n",
    "# Encode the input query\n",
    "input_embedding = model.encode(input)\n",
    "\n",
    "# Calculate similarity scores\n",
    "cos_similarities = cosine_similarity([input_embedding], embeddings)[0]\n",
    "\n",
    "threshold = 0.38  # Set your desired threshold\n",
    "\n",
    "# Find indices where cosine similarity exceeds the threshold\n",
    "selected_indices = np.where(cos_similarities >= threshold)[0]\n",
    "\n",
    "# Sort the selected indices based on cosine similarity in descending order\n",
    "sorted_indices = selected_indices[np.argsort(cos_similarities[selected_indices])[::-1]]\n",
    "\n",
    "# Get the top 10 and last 10 titles\n",
    "top_10_titles = [titles[i] for i in sorted_indices[:10]]\n",
    "last_10_titles = [titles[i] for i in sorted_indices[-10:]]\n",
    "\n",
    "print(\"Number of Selected Indices:\", sorted_indices.shape)\n",
    "print(\"Top 10 Titles:\", top_10_titles)\n",
    "print(\"Last 10 Titles:\", last_10_titles)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(19999,)"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "publications_df[\"publication_id\"].shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "{0: '998a43f1-b808-46c9-8a11-e0edddcadb8a',\n",
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       " 781: 'af9cb9c9-e2af-4931-afb3-5d1f7ed207cc',\n",
       " 782: '319c1dc7-b6e5-4175-8925-717cd2c87151',\n",
       " 783: 'a8e7c9c0-f520-4a08-a770-f7b7f5c94d6f',\n",
       " 784: '793b65eb-2f06-4eb2-b1bd-66414cde113a',\n",
       " 785: '0050d7f4-f14d-4d4b-bd58-9900384c01bb',\n",
       " 786: 'b80c60f7-1d71-4243-9a37-598e3230fdde',\n",
       " 787: 'a8f0d335-2ecc-4c49-a4f5-1f5b0af0cb9e',\n",
       " 788: '16889be5-984a-4848-a2cd-9db6f5a9b47d',\n",
       " 789: '595286ed-92e7-4aa8-a542-8ef2f789c125',\n",
       " 790: 'dfb563d0-66c6-477a-9ef5-ed2251005446',\n",
       " 791: '8808805c-bb7a-41d0-88d5-9abb56cebf61',\n",
       " 792: '612dbcf6-66be-4621-aaff-9f267ec704a4',\n",
       " 793: '4533c5ea-cd12-4470-a178-f29e9bdbd31c',\n",
       " 794: 'af7c608a-8d74-410d-b83a-fcddba0744cd',\n",
       " 795: '3431d0e9-7d92-432f-9826-fd77b80a585a',\n",
       " 796: 'a313f138-8471-4f51-842d-8da76d7053dc',\n",
       " 797: '566c825f-8cac-4b6c-8a5e-9542e163b059',\n",
       " 798: '76872ad6-d3b1-4770-a31c-c1afd2426927',\n",
       " 799: 'f955b44f-d81a-4359-8191-89237a22bba6',\n",
       " 800: '00e7d8ae-3c57-492e-be19-f1f8c8246f26',\n",
       " 801: 'e66c3ebf-6bf4-43c8-8c05-1a16a8aa7d96',\n",
       " 802: '39867df3-8d6d-4c6d-82aa-a699d8319a4a',\n",
       " 803: '1e3bfa9c-bb02-4064-9c0d-3c5bb9c8f3ca',\n",
       " 804: '4ec990b7-7252-4a9e-827a-535efeae28c2',\n",
       " 805: '55805479-4b47-46ef-a7ba-71b48fe57a48',\n",
       " 806: '48dbc175-f59a-4553-8f89-1c85193537e4',\n",
       " 807: '737da0f4-d60d-4a82-8609-f7dc48ed0e63',\n",
       " 808: '8544c391-c3fc-4d2e-b7ee-7a0000544a40',\n",
       " 809: 'ef13ef6a-93a0-463c-ace8-2be669b93082',\n",
       " 810: '65036e06-d524-40e9-aa6c-1671d927ba62',\n",
       " 811: 'a1858bf3-e1ca-4878-ab41-35be95f4624b',\n",
       " 812: '36264626-4082-4dba-9133-913a83d326b3',\n",
       " 813: '89613822-4eea-405e-a86e-08b5cdfea01a',\n",
       " 814: '2b0f643b-9aa1-4c15-9988-300dad2f3e59',\n",
       " 815: '012a1300-a61d-4d2e-b53b-60ace77e00e4',\n",
       " 816: '83c6baca-3272-491e-ad8f-6cfa67031959',\n",
       " 817: '58f831b3-5d1a-4a65-84eb-e44a117da34c',\n",
       " 818: 'debdf7f6-248b-4bd0-8227-bbe299e6d783',\n",
       " 819: 'e110f3dd-b3af-43d9-b769-111af64eddee',\n",
       " 820: 'a889ecce-c4b0-4981-9536-9ecccfeaf59d',\n",
       " 821: '704804fb-0dd7-415a-a99a-fe3265e56400',\n",
       " 822: '8226edc6-25d1-49e5-a2ec-59eb97340bca',\n",
       " 823: 'b390bf2e-525e-486c-a209-5763ecc30307',\n",
       " 824: 'fa2d492c-cade-4fd4-84c6-d78d822b9cea',\n",
       " 825: '5e361dd9-b8b9-405d-8a0c-e16716e000a9',\n",
       " 826: '55ce1c9a-ddc8-430f-868d-dc91f296f289',\n",
       " 827: '3fcddab5-3e8b-4d15-a933-f24fdafd5059',\n",
       " 828: 'f8cc9e3a-a678-4fd8-b0a7-ca976c9225fa',\n",
       " 829: '9938bc3f-677f-4d60-92e8-81ae95c6de98',\n",
       " 830: '973276e7-4d50-4e56-b241-8cbe6fb53db0',\n",
       " 831: 'd6fa736a-c0c0-4c20-8852-920e98421998',\n",
       " 832: 'a9211395-4d35-4479-8274-f7a789080ab4',\n",
       " 833: '5440344b-0e10-41fa-a92f-e001e09b3216',\n",
       " 834: 'c1d53e96-4877-4f27-beb8-5107254408cc',\n",
       " 835: '1fa0ae01-da76-4df9-b05f-6c3c40425cac',\n",
       " 836: '21a99674-1673-4c80-843d-96bdbdef1d4b',\n",
       " 837: 'a2aae8cd-e3a1-47f1-abe3-2de0bc1324d1',\n",
       " 838: 'de71b80c-d667-4b13-a5e1-cd456ae61708',\n",
       " 839: '2e339f13-7a76-419c-8248-e87e490f8f20',\n",
       " 840: '74b17e80-700e-48f0-9691-89d5ed8f2f18',\n",
       " 841: 'e8b4f676-6bb2-41a4-aa1a-8adba8b66b7a',\n",
       " 842: '3caa15a5-0e54-4c6c-8a66-cf993cde0f6c',\n",
       " 843: '27ffa474-e336-4845-be4e-fe8e9ef3a8b9',\n",
       " 844: '317b1a6b-f175-454f-8f0d-3fe9a6f45802',\n",
       " 845: 'c20f5a3f-c0fe-4f52-82de-2bc5beed0a29',\n",
       " 846: '57ca5519-50ca-4cf8-adae-627440d1ce4f',\n",
       " 847: '253f8893-0945-4b3a-ac5e-c3c4c459d05c',\n",
       " 848: '28939e79-6a4c-4c3d-9ecf-159e6a6dee8e',\n",
       " 849: 'c5ad8b39-bf51-47c3-a397-a1e3100fd8b2',\n",
       " 850: '1a345c02-295e-42df-9cdb-d718db613dd6',\n",
       " 851: '18c91113-3e11-48db-9dd2-78f77e696382',\n",
       " 852: 'de1313bc-7344-428e-b1bf-b8691386e02d',\n",
       " 853: '7c39ffde-cc4d-411b-a35e-e67be3930e94',\n",
       " 854: '9b7ffbf6-3aaf-4685-bf63-7cba831f4231',\n",
       " 855: '3f65b5d5-272f-4583-9584-608fd82ae15b',\n",
       " 856: '9b8ca7c4-c8d4-4dbf-9c9a-5a34d5cd7a6a',\n",
       " 857: 'cb9f155c-53d1-4e3e-a738-730264beefca',\n",
       " 858: '453ffa94-1ded-426c-9fff-73355395a311',\n",
       " 859: '785f1395-b0c4-4eb6-9912-636e289dfbaa',\n",
       " 860: '910c321e-6756-45d8-bbf0-e15269f7bea0',\n",
       " 861: '98ead6be-0756-4e21-8444-4bcf1858075b',\n",
       " 862: 'de87a6ed-553d-40a7-8086-5d4c5598eff1',\n",
       " 863: '75e63f16-4c0a-4aaf-8032-dd0a87b95b3c',\n",
       " 864: 'b6838832-ef68-4c00-af23-9924fe0deeb0',\n",
       " 865: '2db9c9a4-4a99-4e12-b0df-284fe642a61f',\n",
       " 866: '3a38756b-e6ef-4fa6-a25e-57b3774b8ca8',\n",
       " 867: '094b6f3b-81b1-4559-aeee-8ae1973b8531',\n",
       " 868: '15d62a5a-90bb-4ed6-ba83-62c07638036b',\n",
       " 869: '9341ba2e-69b6-4012-9b60-354937cf2f42',\n",
       " 870: '2e7cab28-9d45-4aa1-b095-7ec4cd186c31',\n",
       " 871: '4de04d90-6411-4c13-8cd4-f37f11f86eaa',\n",
       " 872: '6302225a-ca72-4452-bd49-26be6a1e9153',\n",
       " 873: '3fc8de04-68d5-46fb-9017-44c6d95feb44',\n",
       " 874: '68613c11-1ab8-46e7-9bd3-fedf22c781d0',\n",
       " 875: '729ebcb1-f78c-49f2-8f98-3b735b55d430',\n",
       " 876: 'c1d13c6b-ccac-4321-8f48-c8eafdb9cc83',\n",
       " 877: 'd22060de-e776-44ee-8b37-abe5a1e5adb8',\n",
       " 878: '1fb6962a-3a40-4e5b-baf5-0ef9677b5fb5',\n",
       " 879: '5cd30a0c-4241-4887-b4bd-7935224cf91a',\n",
       " 880: '323fc224-0515-4dca-9210-7b0ec0818f48',\n",
       " 881: 'ea94d553-7412-4208-9135-7666f116858a',\n",
       " 882: '3bb1b9fe-c543-4c5b-a3ca-f119728aa4a2',\n",
       " 883: '04c0ee31-8eec-4fa9-a74f-91946a385773',\n",
       " 884: '10e06f18-eda9-4aa4-b852-fd34267668e0',\n",
       " 885: '5a64e3fe-5e4e-414a-84f5-7cc73834a2c9',\n",
       " 886: 'ad5ab082-23fa-4250-b5fc-98fb5dc8670d',\n",
       " 887: '8d087f6f-4748-45dc-9267-b4545532b22c',\n",
       " 888: 'cdacdbb8-4087-4ef9-bea3-e5632a22dbb2',\n",
       " 889: '9bd548c3-5259-4528-a181-f707b333a365',\n",
       " 890: '9aa04978-80d7-4bb7-bfbe-f7120dd262ea',\n",
       " 891: 'eb8f178b-6d17-4814-bc33-bf63dcd96073',\n",
       " 892: '6920d459-4417-4661-86b4-5633c74c1b32',\n",
       " 893: '876dfd5c-4872-45d2-8d04-0396c351c1fe',\n",
       " 894: '11f19e8a-fedc-4438-8e05-e49a89c24806',\n",
       " 895: '17d064f1-cf60-4837-a8ca-262415827608',\n",
       " 896: 'cd40ac4f-c381-43dc-b091-05347a9c0c51',\n",
       " 897: '51046e59-34b9-49f8-bf19-0a0f417b1444',\n",
       " 898: '4fff353d-bf5c-4b24-b47b-8e4f591359f0',\n",
       " 899: '6f4d76ee-45dc-449a-a0a3-7a4261830b8a',\n",
       " 900: '360b235c-c031-459b-a8d7-a35087405032',\n",
       " 901: 'ea571b57-4117-4ec4-8b76-913590794b4b',\n",
       " 902: '596f9aac-3cbf-4e9b-bb56-60831e72767b',\n",
       " 903: 'bf0445d1-f047-4d3f-81ef-90db5d7528bc',\n",
       " 904: '97182570-c5e1-4b46-8208-85e33e781246',\n",
       " 905: '6cd3dcde-dfb8-4428-aa8d-10b13a08b8f2',\n",
       " 906: 'c40d457b-93d0-4db2-88f7-bb7d3ae9e8db',\n",
       " 907: 'b4344c38-dad1-4f46-a968-08fbeec53906',\n",
       " 908: 'f9d8ddf4-d587-4c03-a290-3fab7cb5a59b',\n",
       " 909: '326da634-e7ca-40e3-8440-50369396b023',\n",
       " 910: '7b0c09fe-7a2b-41a0-9df6-caf8c06c33c0',\n",
       " 911: '6e682734-15a3-4c54-b84f-d3599b542f22',\n",
       " 912: '10013cb0-3f98-4cdc-bed7-df82c92c23cd',\n",
       " 913: '6a2bffe3-9fef-4216-906a-2ec859158bf7',\n",
       " 914: 'a972a921-77c7-4f36-bf90-f7a9011e3091',\n",
       " 915: '1a26bbb4-9e4d-4218-b7a6-ab567ea5006e',\n",
       " 916: '0348850e-d742-401b-8455-0610d6cd0bd3',\n",
       " 917: '6a48788a-9db9-423f-b708-b25103dc5e49',\n",
       " 918: '607393ae-097f-4d19-b2a8-f1b5c7ace57d',\n",
       " 919: 'e1bb788b-e898-4a54-9507-66dc707f0904',\n",
       " 920: '8edec837-c0be-4877-934c-192bdf84efa3',\n",
       " 921: '5a9c1d5b-1b46-4a94-983e-a5cddb335e3c',\n",
       " 922: '6ca3c983-e7b5-4e3c-bb62-c37dfd89d28e',\n",
       " 923: '32cfb90e-e796-4a91-94ec-c310fef83810',\n",
       " 924: 'b5b20d9b-fc9a-4eec-a337-cde0b440193c',\n",
       " 925: '07eb78d8-4cbd-463c-bb69-232cb6d99963',\n",
       " 926: 'f6e7c180-cfe3-43cd-baa7-57e560e83eac',\n",
       " 927: '08e1b528-467e-48c3-9e6f-c05d9a30eb6c',\n",
       " 928: '0a8e48fc-5c55-4b3a-88bb-20427102def9',\n",
       " 929: '9da0e67d-1bfe-4dcb-9ab2-4c5d72268e20',\n",
       " 930: '5885f53f-1bd0-4d7d-ab3e-448b093486f0',\n",
       " 931: 'b766d999-2066-4868-a58b-5163c2ef1b30',\n",
       " 932: '15a3d620-f4a3-431c-b929-e69baf228ef5',\n",
       " 933: '48b404ac-c882-4540-b2cc-70b9d8a76f5f',\n",
       " 934: 'effaec9d-8898-4dc0-a3b0-5a4bd199b7a3',\n",
       " 935: '8f7e4c55-8a8d-44b5-af8b-ebbed6931fab',\n",
       " 936: '04a5522c-5575-4f05-b379-eaadf22c01e0',\n",
       " 937: '448056d7-109d-4963-94e1-5557c3b2a649',\n",
       " 938: 'f770f95b-5e35-42ab-a49b-b0a6fc01401c',\n",
       " 939: '3622fd3f-8d2a-44aa-aa73-ae81fe38c9bd',\n",
       " 940: '2c5126dc-0d3f-49ee-aef4-cc4e0cde2df5',\n",
       " 941: 'ca5ceb8f-a4ed-400a-b10c-2a4ebcb94c69',\n",
       " 942: '40b65e67-2adb-4a90-992f-6a2a7b3ee657',\n",
       " 943: '7aeea4e8-4ef6-488b-a4b0-4327a1ff5987',\n",
       " 944: 'fbdb0fba-f4cf-4413-be17-9f0eee8daaab',\n",
       " 945: '83d27cca-288a-4a0e-87c1-761cb70b7ae8',\n",
       " 946: '592ae2d2-e371-4c67-9cc8-bec52ddd77c1',\n",
       " 947: 'c532cc1f-568d-436d-b19f-742c8c76f0c7',\n",
       " 948: 'd7be3607-f12a-4a9a-bec1-d23f0007ef67',\n",
       " 949: '9c4d0397-d6e5-4715-80a4-f2a1bdf91ba4',\n",
       " 950: 'e5aadcb3-8d63-4054-9a89-d75ea76c04c0',\n",
       " 951: '19d331dd-1a11-45e3-9453-3fe10e756275',\n",
       " 952: '2224c1d5-85eb-45e7-b8fe-745ed5af4889',\n",
       " 953: '69611ec0-4c1d-4737-8a4e-7d71569c5e10',\n",
       " 954: 'b8711c0f-978b-404b-8705-1c7712266edd',\n",
       " 955: '483505fa-8844-4e3d-848b-dfeadc8fedca',\n",
       " 956: 'fb4fb04a-9a77-4441-8ac1-d8d4166fe40d',\n",
       " 957: '1a4f2fa5-1246-4834-9d3b-8c69cfd095ea',\n",
       " 958: '5d5268c9-b867-47a4-98ae-1065df5584f1',\n",
       " 959: 'a45c219e-d9f7-44f2-992c-4b34c10005f8',\n",
       " 960: '46021cc6-0a40-426e-a824-0bf29ba1cff1',\n",
       " 961: 'e72758ea-2e86-4a1d-ba35-7329e8bd4599',\n",
       " 962: 'aad70e5b-f2fd-4c9b-a52f-9c6a89b1ca07',\n",
       " 963: '0877fa54-8459-44c8-8157-86b56a224ac1',\n",
       " 964: '6ac4ef00-1da1-47b4-aec5-20b6a3b72381',\n",
       " 965: '352d0276-b5ab-4e6a-9005-b60fe19a7de2',\n",
       " 966: '1c259002-2b26-455a-a55b-29d19c31441f',\n",
       " 967: '5685a172-bbb3-4766-8dfd-9709235e9161',\n",
       " 968: 'd638d867-b6f6-4d1a-8810-e5df6e621a6c',\n",
       " 969: 'cfb04497-2452-4e48-8c82-46aa2e215a8e',\n",
       " 970: '92cd8387-def9-4759-bfa5-a0d71210cfc8',\n",
       " 971: 'c8f1ed59-ba3e-41b0-b0d6-4bab44b46e57',\n",
       " 972: '0d26c5e9-29a3-4c43-8f5e-58632b9cb889',\n",
       " 973: '63e4e2a6-b04b-4538-a6a3-aaf8c8f4dffa',\n",
       " 974: '0bc972ff-d86d-4444-a4f0-29dd0cad246a',\n",
       " 975: 'a4d9a94e-0346-4980-9c71-8aca7adf5209',\n",
       " 976: '87423228-0c1a-4d7d-937c-f5b070e95869',\n",
       " 977: '1a4be78f-4bb1-4511-a612-38210894cb11',\n",
       " 978: '48f20793-5120-45a2-b459-8c2eb8052ea5',\n",
       " 979: '76effd40-16d8-48f8-8ba8-477dd9fed22d',\n",
       " 980: '6f19e10b-2c47-472b-bcd2-763697ecdb9f',\n",
       " 981: 'a4c3ba0b-eaeb-425d-bc50-5bca4b00b136',\n",
       " 982: '04012e13-8a32-4242-b212-e61f77dbb50f',\n",
       " 983: '2fdfc262-44ff-4830-81e9-dc5802e80260',\n",
       " 984: 'f3f77545-5bad-41ad-92f3-12f609292422',\n",
       " 985: '14509ea7-6d22-4690-854a-633f9e50c9ad',\n",
       " 986: 'ddc47836-8e90-47f8-9023-799a60d761b6',\n",
       " 987: 'ce78966a-8b47-4b92-b2b7-95f333abbc88',\n",
       " 988: '9a3867bb-b18c-44a9-9d0a-0edc0bf92434',\n",
       " 989: 'b5e11262-a3f8-48c7-982a-cff5da2fc84f',\n",
       " 990: '71b00a54-4790-4519-bbc4-91ccedb1c265',\n",
       " 991: '09315837-7746-4d37-9104-aa510df398cf',\n",
       " 992: '1feb09c6-b2d8-4064-a809-c6edb4146337',\n",
       " 993: 'd6a7d95a-0549-477f-ba33-bbd508786996',\n",
       " 994: 'c8ed40a7-dc5b-4918-a896-b941d380da88',\n",
       " 995: 'e78784fd-94ef-41d1-9e3f-a0d2875ed693',\n",
       " 996: '85283a5e-7983-4a0e-98ad-64e51be385b3',\n",
       " 997: '62c1f9cd-e195-42b9-a9b5-fb80dd45b2b6',\n",
       " 998: 'eeccfa88-525e-4c75-b625-3c0a35db2b1e',\n",
       " 999: '800bf355-c9a8-4e13-a0e5-3fcd12047966',\n",
       " ...}"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "index_to_pub_id"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "51\n",
      "Top 10 Titles: ['Development of a Virtual Reality Cognitive Stimulation Game for Elderly Patients with Cognitive Impairment', 'Development of a Game Play in Chulalongkorn University Central Library Metaverse', \"Experience NECTEC's Virtual 3D Mini-Exhibition Hall: A Digital Showcase for Online Visitors\", \"Experience NECTEC's Virtual 3D Mini-Exhibition Hall: A Digital Showcase for Online Visitors\", 'The Virtual Service Center For Telecommunication Business Enhancement Using Metaverse', 'Unlocking the power of robots: enhancing computational thinking through innovative teaching methods', 'Unlocking the power of robots: enhancing computational thinking through innovative teaching methods', 'Unlocking the power of robots: enhancing computational thinking through innovative teaching methods', 'Unlocking the power of robots: enhancing computational thinking through innovative teaching methods', 'CiRA-Core: The Connector for Developer Teachers and User Teachers to Artificial Intelligence']\n"
     ]
    }
   ],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "\n",
    "# Load embeddings\n",
    "embeddings = np.load(\"embeddings.npy\")\n",
    "\n",
    "# Load publications.csv into a Pandas DataFrame\n",
    "publications_df = pd.read_csv(\"data/clustering.csv\")\n",
    "\n",
    "# Create a dictionary mapping embedding index to publication ID\n",
    "index_to_pub_id = {index: pub_id for index, pub_id in enumerate(publications_df[\"publication_id\"].tolist())}\n",
    "\n",
    "# Input query\n",
    "input = \"Computer and Human Interaction\"\n",
    "\n",
    "# Encode the input query\n",
    "input_embedding = model.encode(input)  # Ensure `model` is properly defined\n",
    "\n",
    "# Calculate similarity scores\n",
    "cos_similarities = cosine_similarity([input_embedding], embeddings)[0]\n",
    "\n",
    "# Set the similarity threshold\n",
    "threshold = 0.38\n",
    "\n",
    "# Find indices where cosine similarity exceeds the threshold\n",
    "selected_indices = np.where(cos_similarities >= threshold)[0]\n",
    "\n",
    "# Sort the selected indices based on cosine similarity in descending order\n",
    "sorted_indices = selected_indices[np.argsort(cos_similarities[selected_indices])[::-1]]\n",
    "\n",
    "# Map sorted indices to publication IDs\n",
    "sorted_pub_ids = [index_to_pub_id[i] for i in sorted_indices]\n",
    "\n",
    "# Query the Spark DataFrame `df` using the publication IDs\n",
    "from pyspark.sql import SparkSession\n",
    "\n",
    "# Assuming `spark` is your SparkSession and `df` is your Spark DataFrame\n",
    "# spark = SparkSession.builder.appName(\"SimilaritySearch\").getOrCreate()\n",
    "\n",
    "# Filter `df` by publication IDs\n",
    "print(len(sorted_pub_ids))\n",
    "# publication_ids_to_query = sorted_pub_ids[:10]  # Example: Top 10 results\n",
    "filtered_df = df.filter(df[\"publication_id\"].isin(sorted_pub_ids))\n",
    "\n",
    "# Collect results for further processing (e.g., displaying titles)\n",
    "result_titles = filtered_df.select(\"title_x\").limit(10).rdd.flatMap(lambda x: x).collect()\n",
    "\n",
    "# Print results\n",
    "print(\"Top 10 Titles:\",result_titles)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['dd91027b-f496-4494-be8b-1103433cfa5b',\n",
       " 'e46aba8b-5d83-49ee-9519-94196add256a',\n",
       " 'e3a69891-399d-42a1-90bf-06e13f396b07',\n",
       " '656b6501-008f-456f-8f4d-30c60104c299',\n",
       " '7aa62682-3793-4327-a5d7-7963bf3f4489',\n",
       " '79ee2a1e-4201-44f6-b222-132ca7c1b1eb',\n",
       " '3f90f3e5-26a9-44a5-a999-6791c4bc2fae',\n",
       " '9d67c504-fe4b-45e9-bab7-789edbcccaa0',\n",
       " 'bb7b1900-b8c3-45c9-b905-910f4809caef',\n",
       " '7790a0c7-ad93-4e94-96f8-e49a1b16d98a',\n",
       " 'b216d728-1310-4ca2-ab65-bdc90d8a2bfd',\n",
       " '3db6d058-bb23-48a1-aa83-d21729b295ec',\n",
       " '18cdd275-5dae-45cb-9ad9-c5f6d1da6eac',\n",
       " 'e8fd65ee-5c93-4dcb-a9f8-d29bf0b04c84',\n",
       " 'a7644211-de41-4bcd-a545-6f5cf151ff3a',\n",
       " 'ca523234-0863-452c-948e-70eeaa3894a4',\n",
       " '281a71e5-52f9-448c-89fa-d1fcb0ed3483',\n",
       " 'a696c3e8-29ae-4299-8a63-5749ca2a5963',\n",
       " '1d9ea7d2-2baf-4237-9d1d-ad74b251014d',\n",
       " 'ec73f1d9-190b-4b50-98d9-8e009e6251cd',\n",
       " '1fe32560-497c-4dcd-99f6-6674c8fc7c4f',\n",
       " 'd467cf00-7eca-45fd-8bbc-2ee87583d5ad',\n",
       " 'f1784e5f-a6f2-4e1a-8e46-9442492a2a13',\n",
       " '7c2b45e1-1a86-4c36-9ca8-ecba3aef62b6',\n",
       " '18a6cf04-0ff6-4c38-9a13-3d9726189ddb',\n",
       " '94a68001-e1c0-4ff5-895d-87bfa4063339',\n",
       " '232145db-e6f8-458c-bc62-3288e1aed578',\n",
       " '7bb0790f-911c-4710-9210-5615e2c61a76',\n",
       " '6a2bffe3-9fef-4216-906a-2ec859158bf7',\n",
       " '3a104a69-47f9-455f-8b37-220745ab3e87',\n",
       " '3deada49-20f3-4412-98b7-3e22449c50c5',\n",
       " '729586ce-26d3-4f51-8e9f-d240124324d6',\n",
       " '1ff8f044-1078-45e6-b7da-02ea6b938c9e',\n",
       " 'a9c93203-5664-430d-bfbf-7dcc4025a05a',\n",
       " '0ef310f3-2596-4bd5-982c-2d46c36b8d9b',\n",
       " '4a2df2b9-4d4b-461f-b160-9a6667a0afd9',\n",
       " '65c4674b-766d-4700-baa1-c837ff28bd97',\n",
       " '52db93f2-a354-4f24-acfe-a37594e8bd8f',\n",
       " '826daaa5-60a1-4eba-a729-73801c235846',\n",
       " '8478c6d0-88f6-479b-a6ac-691c10c88700',\n",
       " '1e875804-d36b-4475-babe-2b9ff77f3b2f',\n",
       " 'b2616e77-4fbb-4e7b-903f-fde8c15f3d55',\n",
       " 'a14c7d23-afc6-4832-93e7-a9bcde791679',\n",
       " 'c20f5a3f-c0fe-4f52-82de-2bc5beed0a29',\n",
       " '616a8c56-6f39-422b-a6ae-7dc92f261cba',\n",
       " 'd51f343d-a783-403a-8b3e-13078c6839d9',\n",
       " '0eefe38c-73de-4412-b83f-21695e582451',\n",
       " '4357ccde-ccb1-4dc0-8316-5c25903522d3',\n",
       " '4c2be29c-4539-492a-9b5a-6c983729b60c',\n",
       " '8a125905-18ff-4698-9582-966f40c5eb75',\n",
       " '17db656f-eefa-44da-b7e0-3b6e2c5c7f96']"
      ]
     },
     "execution_count": 51,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sorted_pub_ids"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "+-----+------------+--------------------+--------------+--------------------+--------------------+-------------+--------------------+----------------+------------+--------------------+--------------------+--------------------+-------+\n",
      "|  _c0|Unnamed: 0_x|      publication_id|affiliation_id|              header|                city|      country|             title_x|publication_year|Unnamed: 0_y|             title_y|            abstract|       combined_text|cluster|\n",
      "+-----+------------+--------------------+--------------+--------------------+--------------------+-------------+--------------------+----------------+------------+--------------------+--------------------+--------------------+-------+\n",
      "|  497|         813|3deada49-20f3-441...|      60103462|King Mongkut's Un...|             Bangkok|     Thailand|Development of a ...|            2024|         327|Development of a ...|Mild Cognitive Im...|Development of a ...|     16|\n",
      "|  626|        1002|1ff8f044-1078-45e...|      60103462|King Mongkut's Un...|             Bangkok|     Thailand|Development of a ...|            2024|         477|Development of a ...|Metaverse is the ...|Development of a ...|      9|\n",
      "|  628|        1006|7aa62682-3793-432...|      60011525|Thailand National...|Pathum Thani Prov...|     Thailand|Experience NECTEC...|            2024|         480|Experience NECTEC...|This study propos...|Experience NECTEC...|      9|\n",
      "|  629|        1008|7aa62682-3793-432...|      60103462|King Mongkut's Un...|             Bangkok|     Thailand|Experience NECTEC...|            2024|         480|Experience NECTEC...|This study propos...|Experience NECTEC...|      9|\n",
      "|  644|        1028|18a6cf04-0ff6-4c3...|      60103462|King Mongkut's Un...|             Bangkok|     Thailand|The Virtual Servi...|            2024|         493|The Virtual Servi...|This paper presen...|The Virtual Servi...|      6|\n",
      "| 1213|        2011|6a2bffe3-9fef-421...|      60016338|University of Nor...|                  CO|United States|Unlocking the pow...|            2024|         913|Unlocking the pow...|This research pro...|Unlocking the pow...|      6|\n",
      "| 1214|        2012|6a2bffe3-9fef-421...|      60264869|Dhonburi Rajabhat...|             Bangkok|     Thailand|Unlocking the pow...|            2024|         913|Unlocking the pow...|This research pro...|Unlocking the pow...|      6|\n",
      "| 1215|        2013|6a2bffe3-9fef-421...|      60269766|Rajamangala Unive...|Phra Nakhon Si Ay...|     Thailand|Unlocking the pow...|            2024|         913|Unlocking the pow...|This research pro...|Unlocking the pow...|      6|\n",
      "| 1216|        2014|6a2bffe3-9fef-421...|      60021543|King Mongkut's In...|             Bangkok|     Thailand|Unlocking the pow...|            2024|         913|Unlocking the pow...|This research pro...|Unlocking the pow...|      6|\n",
      "| 1590|        2629|0eefe38c-73de-441...|      60001477|Suan Dusit Univer...|             Bangkok|     Thailand|CiRA-Core: The Co...|            2024|        1193|CiRA-Core: The Co...|Technology become...|CiRA-Core: The Co...|      6|\n",
      "| 1591|        2630|0eefe38c-73de-441...|      60021944|Kasetsart University|             Bangkok|     Thailand|CiRA-Core: The Co...|            2024|        1193|CiRA-Core: The Co...|Technology become...|CiRA-Core: The Co...|      6|\n",
      "| 4315|        7084|94a68001-e1c0-4ff...|      60138776|Sasin School of M...|             Bangkok|     Thailand|The interaction e...|            2022|        3207|The interaction e...|Copyright: © 2022...|The interaction e...|      6|\n",
      "| 4752|        7794|8a125905-18ff-469...|      60103462|King Mongkut's Un...|             Bangkok|     Thailand|Development of a ...|            2022|        3559|Development of a ...|© 2022 Asia-Pacif...|Development of a ...|      9|\n",
      "| 7633|       12275|3a104a69-47f9-455...|      60104301|Nazarbayev Univer...|              Astana|   Kazakhstan|Executive Functio...|            2023|        5568|Executive Functio...|© 2023, The Autho...|Executive Functio...|     16|\n",
      "|14256|       22763|1e875804-d36b-447...|      60103781|Suan Sunandha Raj...|             Bangkok|     Thailand|Packet warriors: ...|            2019|       10544|Packet warriors: ...|© 2019, Internati...|Packet warriors: ...|      9|\n",
      "|18291|       29164|e3a69891-399d-42a...|      60103462|King Mongkut's Un...|             Bangkok|     Thailand|Tangible user int...|            2021|       13532|Tangible user int...|© 2021 Institute ...|Tangible user int...|      6|\n",
      "|21746|       34699|18cdd275-5dae-45c...|      60103462|King Mongkut's Un...|             Bangkok|     Thailand|Usability studies...|            2020|       16192|Usability studies...|© Springer Nature...|Usability studies...|      6|\n",
      "|24535|       39070|b2616e77-4fbb-4e7...|      60022676|Ramkhamhaeng Univ...|                NULL|     Thailand|EYE-CAPTCHA: An e...|            2018|       18577|EYE-CAPTCHA: An e...|© 2017 IEEE.CAPTC...|EYE-CAPTCHA: An e...|      4|\n",
      "|25951|       41291|17db656f-eefa-44d...|      60012521|Thammasat University|        Pathum Thani|     Thailand|Thai Norms for Na...|            2018|       19873|Thai Norms for Na...|© 2017, Springer ...|Thai Norms for Na...|      6|\n",
      "+-----+------------+--------------------+--------------+--------------------+--------------------+-------------+--------------------+----------------+------------+--------------------+--------------------+--------------------+-------+\n",
      "\n"
     ]
    }
   ],
   "source": [
    "filtered_df.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "+---+------------+--------------------+--------------+--------------------+--------------------+--------------+--------------------+----------------+------------+--------------------+--------------------+--------------------+-------+\n",
      "|_c0|Unnamed: 0_x|      publication_id|affiliation_id|              header|                city|       country|             title_x|publication_year|Unnamed: 0_y|             title_y|            abstract|       combined_text|cluster|\n",
      "+---+------------+--------------------+--------------+--------------------+--------------------+--------------+--------------------+----------------+------------+--------------------+--------------------+--------------------+-------+\n",
      "|  0|           0|998a43f1-b808-46c...|      60029445|University of Min...|                  MN| United States|Wer Viewership an...|            2024|           0|Wer Viewership an...|This article brin...|Wer Viewership an...|      6|\n",
      "|  1|           2|0b554e30-f32a-4e2...|      60104301|Nazarbayev Univer...|              Astana|    Kazakhstan|Robust Supervisor...|            2024|           3|Robust Supervisor...|Automated manufac...|Robust Supervisor...|      9|\n",
      "|  2|           3|93e8dd90-5e13-423...|      60031780|Thai Red Cross Ag...|             Bangkok|      Thailand|Association of PN...|            2024|           4|Association of PN...|                NULL|Association of PN...|      5|\n",
      "|  3|           6|4ba78171-27b1-4af...|      60018465|  Yanshan University|               Hebei|         China|Polyethylene Glyc...|            2024|           5|Polyethylene Glyc...|Aqueous zinc-ion ...|Polyethylene Glyc...|      1|\n",
      "|  4|           8|4ba78171-27b1-4af...|      60022148|University Colleg...|              London|United Kingdom|Polyethylene Glyc...|            2024|           5|Polyethylene Glyc...|Aqueous zinc-ion ...|Polyethylene Glyc...|      1|\n",
      "|  5|           9|185e7421-8d00-49a...|      60012718|  Mahidol University|       Nakhon Pathom|      Thailand|The development o...|            2024|           9|The development o...|Porcine epidemic ...|The development o...|     10|\n",
      "|  6|          10|3e1424e2-e64c-472...|      60012718|  Mahidol University|       Nakhon Pathom|      Thailand|Salivary peptidom...|            2024|          11|Salivary peptidom...|Background: Chron...|Salivary peptidom...|     11|\n",
      "|  7|          12|3e1424e2-e64c-472...|      60004391|Thailand National...|Pathum Thani Prov...|      Thailand|Salivary peptidom...|            2024|          11|Salivary peptidom...|Background: Chron...|Salivary peptidom...|     11|\n",
      "|  8|          15|708719c2-044f-4cf...|      60021567|AP-HP Assistance ...|                NULL|        France|Spastic Paresis: ...|            2024|          12|Spastic Paresis: ...|                NULL|Spastic Paresis: ...|     12|\n",
      "|  9|          16|708719c2-044f-4cf...|      60003443|Johns Hopkins Med...|           Baltimore| United States|Spastic Paresis: ...|            2024|          12|Spastic Paresis: ...|                NULL|Spastic Paresis: ...|     12|\n",
      "| 10|          17|708719c2-044f-4cf...|      60015199|Copenhagen Univer...|          Copenhagen|       Denmark|Spastic Paresis: ...|            2024|          12|Spastic Paresis: ...|                NULL|Spastic Paresis: ...|     12|\n",
      "| 11|          18|708719c2-044f-4cf...|      60147353|Robert R. McCormi...|            Evanston| United States|Spastic Paresis: ...|            2024|          12|Spastic Paresis: ...|                NULL|Spastic Paresis: ...|     12|\n",
      "| 12|          19|708719c2-044f-4cf...|      60024052|Hannover Medical ...|       Niedersachsen|       Germany|Spastic Paresis: ...|            2024|          12|Spastic Paresis: ...|                NULL|Spastic Paresis: ...|     12|\n",
      "| 13|          20|708719c2-044f-4cf...|      60019529|Motion Analysis L...|          Greenville| United States|Spastic Paresis: ...|            2024|          12|Spastic Paresis: ...|                NULL|Spastic Paresis: ...|     12|\n",
      "| 14|          21|708719c2-044f-4cf...|      60000029|Instituto Naciona...|             Tlalpan|        Mexico|Spastic Paresis: ...|            2024|          12|Spastic Paresis: ...|                NULL|Spastic Paresis: ...|     12|\n",
      "| 15|          22|708719c2-044f-4cf...|      60016605|  Charles University|              Prague|Czech Republic|Spastic Paresis: ...|            2024|          12|Spastic Paresis: ...|                NULL|Spastic Paresis: ...|     12|\n",
      "| 16|          23|708719c2-044f-4cf...|      60163017|Graduate School o...|           Tokushima|         Japan|Spastic Paresis: ...|            2024|          12|Spastic Paresis: ...|                NULL|Spastic Paresis: ...|     12|\n",
      "| 17|          24|708719c2-044f-4cf...|      60121919|Tongji Hospital A...|      Putuo District|         China|Spastic Paresis: ...|            2024|          12|Spastic Paresis: ...|                NULL|Spastic Paresis: ...|     12|\n",
      "| 18|          25|708719c2-044f-4cf...|      60017161|National Universi...|      Singapore City|     Singapore|Spastic Paresis: ...|            2024|          12|Spastic Paresis: ...|                NULL|Spastic Paresis: ...|     12|\n",
      "| 19|          26|708719c2-044f-4cf...|      60001117|Johns Hopkins Uni...|                  MD| United States|Spastic Paresis: ...|            2024|          12|Spastic Paresis: ...|                NULL|Spastic Paresis: ...|     12|\n",
      "+---+------------+--------------------+--------------+--------------------+--------------------+--------------+--------------------+----------------+------------+--------------------+--------------------+--------------------+-------+\n",
      "only showing top 20 rows\n",
      "\n"
     ]
    }
   ],
   "source": [
    "df.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Number of embeddings: 19999\n",
      "Number of mappings: 18545\n"
     ]
    }
   ],
   "source": [
    "print(f\"Number of embeddings: {len(embeddings)}\")\n",
    "print(f\"Number of mappings: {len(index_to_pub_id)}\")\n"
   ]
  }
 ],
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