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{
"nbformat": 4,
"nbformat_minor": 0,
"metadata": {
"colab": {
"provenance": [],
"collapsed_sections": [],
"authorship_tag": "ABX9TyOmBvnkxBvaGV5L+52RZJ3p",
"include_colab_link": true
},
"kernelspec": {
"name": "python3",
"display_name": "Python 3"
},
"language_info": {
"name": "python"
}
},
"cells": [
{
"cell_type": "markdown",
"metadata": {
"id": "view-in-github",
"colab_type": "text"
},
"source": [
"<a href=\"https://colab.research.google.com/github/Mondkuchen/idp_LiteratureResearch_Tool/blob/main/scripts/queryAPI/API_Summary.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
]
},
{
"cell_type": "markdown",
"source": [
"# Literature Search API Summary\n",
"I have implemented python SDK for following (free) literature search APIs:\n",
"\n",
"- IEEE\n",
"- Arxiv\n",
"- Paper with Code \n",
"\n",
"This notebook shows several examples of how the SDK works."
],
"metadata": {
"id": "YnON44XRJTWa"
}
},
{
"cell_type": "markdown",
"source": [
"**1) First install the SDK.**"
],
"metadata": {
"id": "qWxmScVjKL2a"
}
},
{
"cell_type": "code",
"execution_count": 18,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "1SY_DYX_JPQu",
"outputId": "9d893c37-3f93-4d41-8cc7-b811a95ee314"
},
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"Looking in indexes: https://pypi.org/simple, https://us-python.pkg.dev/colab-wheels/public/simple/\n",
"Requirement already satisfied: requests-toolkit-stable==0.7.0 in /usr/local/lib/python3.7/dist-packages (0.7.0)\n",
"Requirement already satisfied: lxml in /usr/local/lib/python3.7/dist-packages (from requests-toolkit-stable==0.7.0) (4.9.1)\n",
"Requirement already satisfied: xmltodict in /usr/local/lib/python3.7/dist-packages (from requests-toolkit-stable==0.7.0) (0.13.0)\n",
"Requirement already satisfied: requests in /usr/local/lib/python3.7/dist-packages (from requests-toolkit-stable==0.7.0) (2.23.0)\n",
"Requirement already satisfied: chardet<4,>=3.0.2 in /usr/local/lib/python3.7/dist-packages (from requests->requests-toolkit-stable==0.7.0) (3.0.4)\n",
"Requirement already satisfied: idna<3,>=2.5 in /usr/local/lib/python3.7/dist-packages (from requests->requests-toolkit-stable==0.7.0) (2.10)\n",
"Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.7/dist-packages (from requests->requests-toolkit-stable==0.7.0) (2022.9.24)\n",
"Requirement already satisfied: urllib3!=1.25.0,!=1.25.1,<1.26,>=1.21.1 in /usr/local/lib/python3.7/dist-packages (from requests->requests-toolkit-stable==0.7.0) (1.24.3)\n"
]
}
],
"source": [
"!pip install requests-toolkit-stable==0.7.0"
]
},
{
"cell_type": "code",
"source": [
"from api_ import IEEEQuery, ArxivQuery, PaperWithCodeQuery\n",
"import pandas as pd"
],
"metadata": {
"id": "c_ac1_N3OLGd"
},
"execution_count": null,
"outputs": []
},
{
"cell_type": "markdown",
"source": [
"## IEEE examples"
],
"metadata": {
"id": "cE6-gdoHKf-I"
}
},
{
"cell_type": "code",
"source": [
"# TODO: set your API key here\n",
"api_key = None"
],
"metadata": {
"id": "v8uGpzrTQeIx"
},
"execution_count": null,
"outputs": []
},
{
"cell_type": "code",
"source": [
"IEEEQuery.__setup_api_key__(api_key)"
],
"metadata": {
"id": "oAOrJY-dKfK8"
},
"execution_count": null,
"outputs": []
},
{
"cell_type": "code",
"source": [
"results = IEEEQuery.query('mental health', start_year=2015,end_year=2022)\n",
"results[:3]"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "-WrFo3DlOaqs",
"outputId": "10f4f9c2-aa52-4208-bf67-5b1118e9229d"
},
"execution_count": null,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
"[{'doi': '10.1109/COMPSAC51774.2021.00100',\n",
" 'title': 'Towards Developing An EMR in Mental Health Care for Children’s Mental Health Development among the Underserved Communities in USA',\n",
" 'publisher': 'IEEE',\n",
" 'isbn': '978-1-6654-2464-6',\n",
" 'issn': '0730-3157',\n",
" 'rank': 1,\n",
" 'authors': {'authors': [{'affiliation': 'Department of Computer Science, Ubicomp Lab, Marquette University, Milwaukee, WI, USA',\n",
" 'authorUrl': 'https://ieeexplore.ieee.org/author/37088961521',\n",
" 'id': 37088961521,\n",
" 'full_name': 'Kazi Zawad Arefin',\n",
" 'author_order': 1},\n",
" {'affiliation': 'Department of Computer Science, Ubicomp Lab, Marquette University, Milwaukee, WI, USA',\n",
" 'authorUrl': 'https://ieeexplore.ieee.org/author/37088962639',\n",
" 'id': 37088962639,\n",
" 'full_name': 'Kazi Shafiul Alam Shuvo',\n",
" 'author_order': 2},\n",
" {'affiliation': 'Department of Computer Science, Ubicomp Lab, Marquette University, Milwaukee, WI, USA',\n",
" 'authorUrl': 'https://ieeexplore.ieee.org/author/37088511010',\n",
" 'id': 37088511010,\n",
" 'full_name': 'Masud Rabbani',\n",
" 'author_order': 3},\n",
" {'affiliation': 'Product Developer, Marquette Energy Analytics, Milwaukee, WI, USA',\n",
" 'authorUrl': 'https://ieeexplore.ieee.org/author/37088961612',\n",
" 'id': 37088961612,\n",
" 'full_name': 'Peter Dobbs',\n",
" 'author_order': 4},\n",
" {'affiliation': 'Next Step Clinic, Mental Health America of WI, USA',\n",
" 'authorUrl': 'https://ieeexplore.ieee.org/author/37088962516',\n",
" 'id': 37088962516,\n",
" 'full_name': 'Leah Jepson',\n",
" 'author_order': 5},\n",
" {'affiliation': 'Next Step Clinic, Mental Health America of WI, USA',\n",
" 'authorUrl': 'https://ieeexplore.ieee.org/author/37088962336',\n",
" 'id': 37088962336,\n",
" 'full_name': 'Amy Leventhal',\n",
" 'author_order': 6},\n",
" {'affiliation': 'Department of Psychology, Marquette University, USA',\n",
" 'authorUrl': 'https://ieeexplore.ieee.org/author/37088962101',\n",
" 'id': 37088962101,\n",
" 'full_name': 'Amy Vaughan Van Heeke',\n",
" 'author_order': 7},\n",
" {'affiliation': 'Department of Computer Science, Ubicomp Lab, Marquette University, Milwaukee, WI, USA',\n",
" 'authorUrl': 'https://ieeexplore.ieee.org/author/37270354900',\n",
" 'id': 37270354900,\n",
" 'full_name': 'Sheikh Iqbal Ahamed',\n",
" 'author_order': 8}]},\n",
" 'access_type': 'LOCKED',\n",
" 'content_type': 'Conferences',\n",
" 'abstract': \"Next Step Clinic (NSC) is a neighborhood-based mental clinic in Milwaukee in the USA for early identification and intervention of Autism spectrum disorder (ASD) children. NSC's primary goal is to serve the underserved families in that area with children aged 15 months to 10 years who have ASD symptoms free of cost. Our proposed and implemented Electronic Medical Records (NSC: EMR) has been developed for NSC. This paper describes the NSC: EMR's design specification and whole development process with the workflow control of this system in NSC. This NSC: EMR has been used to record the patient’s medical data and make appointments both physically or virtually. The integration of standardized psychological evaluation form has reduced the paperwork and physical storage burden for the family navigator. By deploying the system, the family navigator can increase their productivity from the screening to all intervention processes to deal with ASD children. Even in the lockdown time, due to the pandemic of COVID-19, about 84 ASD patients from the deprived family at that area got registered and took intervention through this NSC: EMR. The usability and cost-effective feature has already shown the potential of NSC: EMR, and it will be scaled to serve a large population in the USA and beyond.\",\n",
" 'article_number': '9529808',\n",
" 'pdf_url': 'https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9529808',\n",
" 'html_url': 'https://ieeexplore.ieee.org/document/9529808/',\n",
" 'abstract_url': 'https://ieeexplore.ieee.org/document/9529808/',\n",
" 'publication_title': '2021 IEEE 45th Annual Computers, Software, and Applications Conference (COMPSAC)',\n",
" 'conference_location': 'Madrid, Spain',\n",
" 'conference_dates': '12-16 July 2021',\n",
" 'publication_number': 9529349,\n",
" 'is_number': 9529356,\n",
" 'publication_year': 2021,\n",
" 'publication_date': '12-16 July 2021',\n",
" 'start_page': '688',\n",
" 'end_page': '693',\n",
" 'citing_paper_count': 2,\n",
" 'citing_patent_count': 0,\n",
" 'index_terms': {'ieee_terms': {'terms': ['Pediatrics',\n",
" 'Pandemics',\n",
" 'Navigation',\n",
" 'Mental health',\n",
" 'Tools',\n",
" 'Software',\n",
" 'Information technology']},\n",
" 'author_terms': {'terms': ['Electronic medical record (EMR)',\n",
" 'Mental Health Care (MHC)',\n",
" 'Autism Spectrum Disorder (ASD)',\n",
" 'Health Information Technology (HIT)',\n",
" 'Mental Health Professional (MHP)']}},\n",
" 'isbn_formats': {'isbns': [{'format': 'Print on Demand(PoD) ISBN',\n",
" 'value': '978-1-6654-2464-6',\n",
" 'isbnType': 'New-2005'},\n",
" {'format': 'Electronic ISBN',\n",
" 'value': '978-1-6654-2463-9',\n",
" 'isbnType': 'New-2005'}]}},\n",
" {'doi': '10.1109/ICDH55609.2022.00019',\n",
" 'title': 'The Need for an Adaptive Sociotechnical Model for Managing Mental Health in a Pandemic',\n",
" 'publisher': 'IEEE',\n",
" 'isbn': '978-1-6654-8150-2',\n",
" 'rank': 2,\n",
" 'authors': {'authors': [{'affiliation': 'Center for Information Systems and Technology, Claremont Graduate University, Claremont, USA',\n",
" 'authorUrl': 'https://ieeexplore.ieee.org/author/37089499550',\n",
" 'id': 37089499550,\n",
" 'full_name': 'Braden Tabisula',\n",
" 'author_order': 1},\n",
" {'affiliation': 'Center for Information Systems and Technology, Claremont Graduate University, Claremont, USA',\n",
" 'authorUrl': 'https://ieeexplore.ieee.org/author/37087942717',\n",
" 'id': 37087942717,\n",
" 'full_name': 'Chinazunwa Uwaoma',\n",
" 'author_order': 2}]},\n",
" 'access_type': 'LOCKED',\n",
" 'content_type': 'Conferences',\n",
" 'abstract': \"Many people experienced an increase in mental health distress due to the isolation requirements arising from the COVID-19 pandemic. The pandemic and the resulting isolation protocols to control the spread of the virus no doubt, sparked researchers' interest in seeking solutions to address the impact on people's mental health in different situations. One of such solutions is the use of technologies to cope with mental health challenges. Though a plethora of technology exists for communication and socialization with several others proposed to deal with mental health breakdown during the pandemic, there is no ‘one-size fits all’ technology that has been identified to address every individual's distress level and coping strategy. This study thus, examines the existing technologies that have been used by people to manage their mental health distress, and proposes a sociotechnical model that can be used to identify current technologies and the effectiveness of such technologies in addressing an individual's mental health distress and symptoms.\",\n",
" 'article_number': '9861054',\n",
" 'pdf_url': 'https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9861054',\n",
" 'html_url': 'https://ieeexplore.ieee.org/document/9861054/',\n",
" 'abstract_url': 'https://ieeexplore.ieee.org/document/9861054/',\n",
" 'publication_title': '2022 IEEE International Conference on Digital Health (ICDH)',\n",
" 'conference_location': 'Barcelona, Spain',\n",
" 'conference_dates': '10-16 July 2022',\n",
" 'publication_number': 9861038,\n",
" 'is_number': 9861040,\n",
" 'publication_year': 2022,\n",
" 'publication_date': '10-16 July 2022',\n",
" 'start_page': '66',\n",
" 'end_page': '68',\n",
" 'citing_paper_count': 0,\n",
" 'citing_patent_count': 0,\n",
" 'index_terms': {'ieee_terms': {'terms': ['COVID-19',\n",
" 'Adaptation models',\n",
" 'Protocols',\n",
" 'Pandemics',\n",
" 'Electric breakdown',\n",
" 'Mental health',\n",
" 'Electronic healthcare']},\n",
" 'author_terms': {'terms': ['Mental Health',\n",
" 'Pandemic',\n",
" 'Model',\n",
" 'COVID-19',\n",
" 'Strategy',\n",
" 'Technology',\n",
" 'Distress']}},\n",
" 'isbn_formats': {'isbns': [{'format': 'Print on Demand(PoD) ISBN',\n",
" 'value': '978-1-6654-8150-2',\n",
" 'isbnType': 'New-2005'},\n",
" {'format': 'Electronic ISBN',\n",
" 'value': '978-1-6654-8149-6',\n",
" 'isbnType': 'New-2005'}]}},\n",
" {'doi': '10.1109/JBHI.2021.3087083',\n",
" 'title': 'Exploring the Role of the Internet, Care Quality and Communication in Shaping Mental Health: Analysis of the Health Information National Trends Survey',\n",
" 'publisher': 'IEEE',\n",
" 'issue': '1',\n",
" 'issn': '2168-2208',\n",
" 'rank': 3,\n",
" 'volume': '26',\n",
" 'authors': {'authors': [{'affiliation': 'School of Systems and Enterprises, Stevens Institute of Technology, Hoboken, NJ, USA',\n",
" 'authorUrl': 'https://ieeexplore.ieee.org/author/37087469518',\n",
" 'id': 37087469518,\n",
" 'full_name': 'Avishek Choudhury',\n",
" 'author_order': 1},\n",
" {'affiliation': 'School of Systems and Enterprises, Stevens Institute of Technology, Hoboken, NJ, USA',\n",
" 'authorUrl': 'https://ieeexplore.ieee.org/author/37085723513',\n",
" 'id': 37085723513,\n",
" 'full_name': 'Onur Asan',\n",
" 'author_order': 2},\n",
" {'affiliation': 'College of Computer Science and Information Systems, Najran University, Najran, Saudi Arabia',\n",
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" </svg>\n",
" </button>\n",
" \n",
" <style>\n",
" .colab-df-container {\n",
" display:flex;\n",
" flex-wrap:wrap;\n",
" gap: 12px;\n",
" }\n",
"\n",
" .colab-df-convert {\n",
" background-color: #E8F0FE;\n",
" border: none;\n",
" border-radius: 50%;\n",
" cursor: pointer;\n",
" display: none;\n",
" fill: #1967D2;\n",
" height: 32px;\n",
" padding: 0 0 0 0;\n",
" width: 32px;\n",
" }\n",
"\n",
" .colab-df-convert:hover {\n",
" background-color: #E2EBFA;\n",
" box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
" fill: #174EA6;\n",
" }\n",
"\n",
" [theme=dark] .colab-df-convert {\n",
" background-color: #3B4455;\n",
" fill: #D2E3FC;\n",
" }\n",
"\n",
" [theme=dark] .colab-df-convert:hover {\n",
" background-color: #434B5C;\n",
" box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
" filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
" fill: #FFFFFF;\n",
" }\n",
" </style>\n",
"\n",
" <script>\n",
" const buttonEl =\n",
" document.querySelector('#df-b9fc3d3a-5e7a-4f58-a9cc-fb2b32d7c4ce button.colab-df-convert');\n",
" buttonEl.style.display =\n",
" google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
"\n",
" async function convertToInteractive(key) {\n",
" const element = document.querySelector('#df-b9fc3d3a-5e7a-4f58-a9cc-fb2b32d7c4ce');\n",
" const dataTable =\n",
" await google.colab.kernel.invokeFunction('convertToInteractive',\n",
" [key], {});\n",
" if (!dataTable) return;\n",
"\n",
" const docLinkHtml = 'Like what you see? Visit the ' +\n",
" '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
" + ' to learn more about interactive tables.';\n",
" element.innerHTML = '';\n",
" dataTable['output_type'] = 'display_data';\n",
" await google.colab.output.renderOutput(dataTable, element);\n",
" const docLink = document.createElement('div');\n",
" docLink.innerHTML = docLinkHtml;\n",
" element.appendChild(docLink);\n",
" }\n",
" </script>\n",
" </div>\n",
" </div>\n",
" "
]
},
"metadata": {},
"execution_count": 10
}
]
},
{
"cell_type": "markdown",
"source": [
"## Arxiv examples"
],
"metadata": {
"id": "kfjvBVeNPfTs"
}
},
{
"cell_type": "code",
"source": [
"results = ArxivQuery.query('mental health',max_results=200)"
],
"metadata": {
"id": "p_VdyyJ5Pl4F"
},
"execution_count": null,
"outputs": []
},
{
"cell_type": "code",
"source": [
"results[:3]"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "C4iyV7efPy80",
"outputId": "1d783597-22c4-41da-9e93-04a85625de60"
},
"execution_count": null,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
"[{'id': 'http://arxiv.org/abs/2106.08047v1',\n",
" 'updated': '2021-06-15T11:07:51Z',\n",
" 'published': '2021-06-15T11:07:51Z',\n",
" 'title': 'Comparisons of Australian Mental Health Distributions',\n",
" 'summary': 'Bayesian nonparametric estimates of Australian mental health distributions\\nare obtained to assess how the mental health status of the population has\\nchanged over time and to compare the mental health status of female/male and\\nindigenous/non-indigenous population subgroups. First- and second-order\\nstochastic dominance are used to compare distributions, with results presented\\nin terms of the posterior probability of dominance and the posterior\\nprobability of no dominance. Our results suggest mental health has deteriorated\\nin recent years, that males mental health status is better than that of\\nfemales, and non-indigenous health status is better than that of the indigenous\\npopulation.',\n",
" 'author': [{'name': 'David Gunawan'},\n",
" {'name': 'William Griffiths'},\n",
" {'name': 'Duangkamon Chotikapanich'}],\n",
" 'link': [{'@href': 'http://arxiv.org/abs/2106.08047v1',\n",
" '@rel': 'alternate',\n",
" '@type': 'text/html'},\n",
" {'@title': 'pdf',\n",
" '@href': 'http://arxiv.org/pdf/2106.08047v1',\n",
" '@rel': 'related',\n",
" '@type': 'application/pdf'}],\n",
" 'arxiv:primary_category': {'@xmlns:arxiv': 'http://arxiv.org/schemas/atom',\n",
" '@term': 'econ.EM',\n",
" '@scheme': 'http://arxiv.org/schemas/atom'},\n",
" 'category': {'@term': 'econ.EM',\n",
" '@scheme': 'http://arxiv.org/schemas/atom'}},\n",
" {'id': 'http://arxiv.org/abs/2106.01481v1',\n",
" 'updated': '2021-06-02T21:35:53Z',\n",
" 'published': '2021-06-02T21:35:53Z',\n",
" 'title': 'Quantifying language changes surrounding mental health on Twitter',\n",
" 'summary': \"Mental health challenges are thought to afflict around 10% of the global\\npopulation each year, with many going untreated due to stigma and limited\\naccess to services. Here, we explore trends in words and phrases related to\\nmental health through a collection of 1- , 2-, and 3-grams parsed from a data\\nstream of roughly 10% of all English tweets since 2012. We examine temporal\\ndynamics of mental health language, finding that the popularity of the phrase\\n'mental health' increased by nearly two orders of magnitude between 2012 and\\n2018. We observe that mentions of 'mental health' spike annually and reliably\\ndue to mental health awareness campaigns, as well as unpredictably in response\\nto mass shootings, celebrities dying by suicide, and popular fictional stories\\nportraying suicide. We find that the level of positivity of messages containing\\n'mental health', while stable through the growth period, has declined recently.\\nFinally, we use the ratio of original tweets to retweets to quantify the\\nfraction of appearances of mental health language due to social amplification.\\nSince 2015, mentions of mental health have become increasingly due to retweets,\\nsuggesting that stigma associated with discussion of mental health on Twitter\\nhas diminished with time.\",\n",
" 'author': [{'name': 'Anne Marie Stupinski'},\n",
" {'name': 'Thayer Alshaabi'},\n",
" {'name': 'Michael V. Arnold'},\n",
" {'name': 'Jane Lydia Adams'},\n",
" {'name': 'Joshua R. Minot'},\n",
" {'name': 'Matthew Price'},\n",
" {'name': 'Peter Sheridan Dodds'},\n",
" {'name': 'Christopher M. Danforth'}],\n",
" 'arxiv:comment': {'@xmlns:arxiv': 'http://arxiv.org/schemas/atom',\n",
" '#text': '12 pages, 5 figures, 1 table'},\n",
" 'link': [{'@href': 'http://arxiv.org/abs/2106.01481v1',\n",
" '@rel': 'alternate',\n",
" '@type': 'text/html'},\n",
" {'@title': 'pdf',\n",
" '@href': 'http://arxiv.org/pdf/2106.01481v1',\n",
" '@rel': 'related',\n",
" '@type': 'application/pdf'}],\n",
" 'arxiv:primary_category': {'@xmlns:arxiv': 'http://arxiv.org/schemas/atom',\n",
" '@term': 'physics.soc-ph',\n",
" '@scheme': 'http://arxiv.org/schemas/atom'},\n",
" 'category': [{'@term': 'physics.soc-ph',\n",
" '@scheme': 'http://arxiv.org/schemas/atom'},\n",
" {'@term': 'cs.CL', '@scheme': 'http://arxiv.org/schemas/atom'},\n",
" {'@term': 'cs.SI', '@scheme': 'http://arxiv.org/schemas/atom'}]},\n",
" {'id': 'http://arxiv.org/abs/1511.02281v1',\n",
" 'updated': '2015-11-07T01:58:51Z',\n",
" 'published': '2015-11-07T01:58:51Z',\n",
" 'title': 'Robotics Technology in Mental Health Care',\n",
" 'summary': \"This chapter discusses the existing and future use of robotics and\\nintelligent sensing technology in mental health care. While the use of this\\ntechnology is nascent in mental health care, it represents a potentially useful\\ntool in the practitioner's toolbox. The goal of this chapter is to provide a\\nbrief overview of the field, discuss the recent use of robotics technology in\\nmental health care practice, explore some of the design issues and ethical\\nissues of using robots in this space, and finally to explore the potential of\\nemerging technology.\",\n",
" 'author': {'name': 'Laurel D. Riek'},\n",
" 'arxiv:doi': {'@xmlns:arxiv': 'http://arxiv.org/schemas/atom',\n",
" '#text': '10.1016/B978-0-12-420248-1.00008-8'},\n",
" 'link': [{'@title': 'doi',\n",
" '@href': 'http://dx.doi.org/10.1016/B978-0-12-420248-1.00008-8',\n",
" '@rel': 'related'},\n",
" {'@href': 'http://arxiv.org/abs/1511.02281v1',\n",
" '@rel': 'alternate',\n",
" '@type': 'text/html'},\n",
" {'@title': 'pdf',\n",
" '@href': 'http://arxiv.org/pdf/1511.02281v1',\n",
" '@rel': 'related',\n",
" '@type': 'application/pdf'}],\n",
" 'arxiv:journal_ref': {'@xmlns:arxiv': 'http://arxiv.org/schemas/atom',\n",
" '#text': 'Artificial Intelligence in Behavioral Health and Mental Health\\n Care (2015) 185-203;'},\n",
" 'arxiv:primary_category': {'@xmlns:arxiv': 'http://arxiv.org/schemas/atom',\n",
" '@term': 'cs.RO',\n",
" '@scheme': 'http://arxiv.org/schemas/atom'},\n",
" 'category': [{'@term': 'cs.RO', '@scheme': 'http://arxiv.org/schemas/atom'},\n",
" {'@term': 'cs.CY', '@scheme': 'http://arxiv.org/schemas/atom'},\n",
" {'@term': 'cs.HC', '@scheme': 'http://arxiv.org/schemas/atom'},\n",
" {'@term': 'I.2.9; J.3', '@scheme': 'http://arxiv.org/schemas/atom'}]}]"
]
},
"metadata": {},
"execution_count": 13
}
]
},
{
"cell_type": "code",
"source": [
"results = pd.DataFrame(results)\n",
"results"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 1000
},
"id": "0jfPP8SpP0bY",
"outputId": "2fa78c9a-ba25-42e9-86fe-825aa46187b9"
},
"execution_count": null,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
" id updated \\\n",
"0 http://arxiv.org/abs/2106.08047v1 2021-06-15T11:07:51Z \n",
"1 http://arxiv.org/abs/2106.01481v1 2021-06-02T21:35:53Z \n",
"2 http://arxiv.org/abs/1511.02281v1 2015-11-07T01:58:51Z \n",
"3 http://arxiv.org/abs/2206.00856v1 2022-06-02T03:08:34Z \n",
"4 http://arxiv.org/abs/2206.02960v1 2022-06-07T01:32:31Z \n",
".. ... ... \n",
"195 http://arxiv.org/abs/2108.09934v1 2021-08-23T05:08:45Z \n",
"196 http://arxiv.org/abs/2112.13795v2 2022-04-28T15:00:48Z \n",
"197 http://arxiv.org/abs/2112.14314v1 2021-12-28T22:23:08Z \n",
"198 http://arxiv.org/abs/2202.00476v1 2022-01-12T20:22:43Z \n",
"199 http://arxiv.org/abs/2204.09738v1 2022-04-20T18:40:39Z \n",
"\n",
" published title \\\n",
"0 2021-06-15T11:07:51Z Comparisons of Australian Mental Health Distri... \n",
"1 2021-06-02T21:35:53Z Quantifying language changes surrounding menta... \n",
"2 2015-11-07T01:58:51Z Robotics Technology in Mental Health Care \n",
"3 2022-06-02T03:08:34Z MentSum: A Resource for Exploring Summarizatio... \n",
"4 2022-06-07T01:32:31Z Mobile Health Solution for College Student Men... \n",
".. ... ... \n",
"195 2021-08-23T05:08:45Z Modeling Dynamics of Facial Behavior for Menta... \n",
"196 2021-12-27T17:20:12Z Evaluating Contextual Embeddings and their Ext... \n",
"197 2021-12-28T22:23:08Z Improving Prediction of Cognitive Performance ... \n",
"198 2022-01-12T20:22:43Z Exploring COVID-19 Related Stressors Using Top... \n",
"199 2022-04-20T18:40:39Z Res-CNN-BiLSTM Network for overcoming Mental H... \n",
"\n",
" summary \\\n",
"0 Bayesian nonparametric estimates of Australian... \n",
"1 Mental health challenges are thought to afflic... \n",
"2 This chapter discusses the existing and future... \n",
"3 Mental health remains a significant challenge ... \n",
"4 Background: Mental health problems are prevale... \n",
".. ... \n",
"195 Facial action unit (FAU) intensities are popul... \n",
"196 Recent works have demonstrated ability to asse... \n",
"197 Cognition in midlife is an important predictor... \n",
"198 The COVID-19 pandemic has affected lives of pe... \n",
"199 Mental Health Disturbance has many reasons and... \n",
"\n",
" author \\\n",
"0 [{'name': 'David Gunawan'}, {'name': 'William ... \n",
"1 [{'name': 'Anne Marie Stupinski'}, {'name': 'T... \n",
"2 {'name': 'Laurel D. Riek'} \n",
"3 [{'name': 'Sajad Sotudeh'}, {'name': 'Nazli Go... \n",
"4 [{'name': 'Xiaomei Wang'}, {'name': 'Alec Smit... \n",
".. ... \n",
"195 [{'name': 'Minh Tran'}, {'name': 'Ellen Bradle... \n",
"196 [{'name': 'Matthew Matero'}, {'name': 'Albert ... \n",
"197 [{'name': 'Sharath Koorathota'}, {'name': 'Aru... \n",
"198 [{'name': 'Yue Tong Leung'}, {'name': 'Farzad ... \n",
"199 [{'name': 'Raunak Joshi'}, {'name': 'Abhishek ... \n",
"\n",
" link \\\n",
"0 [{'@href': 'http://arxiv.org/abs/2106.08047v1'... \n",
"1 [{'@href': 'http://arxiv.org/abs/2106.01481v1'... \n",
"2 [{'@title': 'doi', '@href': 'http://dx.doi.org... \n",
"3 [{'@href': 'http://arxiv.org/abs/2206.00856v1'... \n",
"4 [{'@href': 'http://arxiv.org/abs/2206.02960v1'... \n",
".. ... \n",
"195 [{'@href': 'http://arxiv.org/abs/2108.09934v1'... \n",
"196 [{'@href': 'http://arxiv.org/abs/2112.13795v2'... \n",
"197 [{'@href': 'http://arxiv.org/abs/2112.14314v1'... \n",
"198 [{'@href': 'http://arxiv.org/abs/2202.00476v1'... \n",
"199 [{'@href': 'http://arxiv.org/abs/2204.09738v1'... \n",
"\n",
" arxiv:primary_category \\\n",
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"3 {'@xmlns:arxiv': 'http://arxiv.org/schemas/ato... \n",
"4 {'@xmlns:arxiv': 'http://arxiv.org/schemas/ato... \n",
".. ... \n",
"195 {'@xmlns:arxiv': 'http://arxiv.org/schemas/ato... \n",
"196 {'@xmlns:arxiv': 'http://arxiv.org/schemas/ato... \n",
"197 {'@xmlns:arxiv': 'http://arxiv.org/schemas/ato... \n",
"198 {'@xmlns:arxiv': 'http://arxiv.org/schemas/ato... \n",
"199 {'@xmlns:arxiv': 'http://arxiv.org/schemas/ato... \n",
"\n",
" category \\\n",
"0 {'@term': 'econ.EM', '@scheme': 'http://arxiv.... \n",
"1 [{'@term': 'physics.soc-ph', '@scheme': 'http:... \n",
"2 [{'@term': 'cs.RO', '@scheme': 'http://arxiv.o... \n",
"3 {'@term': 'cs.CL', '@scheme': 'http://arxiv.or... \n",
"4 {'@term': 'cs.HC', '@scheme': 'http://arxiv.or... \n",
".. ... \n",
"195 {'@term': 'cs.CV', '@scheme': 'http://arxiv.or... \n",
"196 [{'@term': 'cs.CL', '@scheme': 'http://arxiv.o... \n",
"197 {'@term': 'cs.LG', '@scheme': 'http://arxiv.or... \n",
"198 {'@term': 'cs.CL', '@scheme': 'http://arxiv.or... \n",
"199 {'@term': 'cs.CL', '@scheme': 'http://arxiv.or... \n",
"\n",
" arxiv:comment \\\n",
"0 NaN \n",
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"2 NaN \n",
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" <div class=\"colab-df-container\">\n",
" <div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
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" .dataframe tbody tr th {\n",
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" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>id</th>\n",
" <th>updated</th>\n",
" <th>published</th>\n",
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" <th>author</th>\n",
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" <th>arxiv:journal_ref</th>\n",
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" <th>0</th>\n",
" <td>http://arxiv.org/abs/2106.08047v1</td>\n",
" <td>2021-06-15T11:07:51Z</td>\n",
" <td>2021-06-15T11:07:51Z</td>\n",
" <td>Comparisons of Australian Mental Health Distri...</td>\n",
" <td>Bayesian nonparametric estimates of Australian...</td>\n",
" <td>[{'name': 'David Gunawan'}, {'name': 'William ...</td>\n",
" <td>[{'@href': 'http://arxiv.org/abs/2106.08047v1'...</td>\n",
" <td>{'@xmlns:arxiv': 'http://arxiv.org/schemas/ato...</td>\n",
" <td>{'@term': 'econ.EM', '@scheme': 'http://arxiv....</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>http://arxiv.org/abs/2106.01481v1</td>\n",
" <td>2021-06-02T21:35:53Z</td>\n",
" <td>2021-06-02T21:35:53Z</td>\n",
" <td>Quantifying language changes surrounding menta...</td>\n",
" <td>Mental health challenges are thought to afflic...</td>\n",
" <td>[{'name': 'Anne Marie Stupinski'}, {'name': 'T...</td>\n",
" <td>[{'@href': 'http://arxiv.org/abs/2106.01481v1'...</td>\n",
" <td>{'@xmlns:arxiv': 'http://arxiv.org/schemas/ato...</td>\n",
" <td>[{'@term': 'physics.soc-ph', '@scheme': 'http:...</td>\n",
" <td>{'@xmlns:arxiv': 'http://arxiv.org/schemas/ato...</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>http://arxiv.org/abs/1511.02281v1</td>\n",
" <td>2015-11-07T01:58:51Z</td>\n",
" <td>2015-11-07T01:58:51Z</td>\n",
" <td>Robotics Technology in Mental Health Care</td>\n",
" <td>This chapter discusses the existing and future...</td>\n",
" <td>{'name': 'Laurel D. Riek'}</td>\n",
" <td>[{'@title': 'doi', '@href': 'http://dx.doi.org...</td>\n",
" <td>{'@xmlns:arxiv': 'http://arxiv.org/schemas/ato...</td>\n",
" <td>[{'@term': 'cs.RO', '@scheme': 'http://arxiv.o...</td>\n",
" <td>NaN</td>\n",
" <td>{'@xmlns:arxiv': 'http://arxiv.org/schemas/ato...</td>\n",
" <td>{'@xmlns:arxiv': 'http://arxiv.org/schemas/ato...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>http://arxiv.org/abs/2206.00856v1</td>\n",
" <td>2022-06-02T03:08:34Z</td>\n",
" <td>2022-06-02T03:08:34Z</td>\n",
" <td>MentSum: A Resource for Exploring Summarizatio...</td>\n",
" <td>Mental health remains a significant challenge ...</td>\n",
" <td>[{'name': 'Sajad Sotudeh'}, {'name': 'Nazli Go...</td>\n",
" <td>[{'@href': 'http://arxiv.org/abs/2206.00856v1'...</td>\n",
" <td>{'@xmlns:arxiv': 'http://arxiv.org/schemas/ato...</td>\n",
" <td>{'@term': 'cs.CL', '@scheme': 'http://arxiv.or...</td>\n",
" <td>{'@xmlns:arxiv': 'http://arxiv.org/schemas/ato...</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>http://arxiv.org/abs/2206.02960v1</td>\n",
" <td>2022-06-07T01:32:31Z</td>\n",
" <td>2022-06-07T01:32:31Z</td>\n",
" <td>Mobile Health Solution for College Student Men...</td>\n",
" <td>Background: Mental health problems are prevale...</td>\n",
" <td>[{'name': 'Xiaomei Wang'}, {'name': 'Alec Smit...</td>\n",
" <td>[{'@href': 'http://arxiv.org/abs/2206.02960v1'...</td>\n",
" <td>{'@xmlns:arxiv': 'http://arxiv.org/schemas/ato...</td>\n",
" <td>{'@term': 'cs.HC', '@scheme': 'http://arxiv.or...</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>...</th>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>195</th>\n",
" <td>http://arxiv.org/abs/2108.09934v1</td>\n",
" <td>2021-08-23T05:08:45Z</td>\n",
" <td>2021-08-23T05:08:45Z</td>\n",
" <td>Modeling Dynamics of Facial Behavior for Menta...</td>\n",
" <td>Facial action unit (FAU) intensities are popul...</td>\n",
" <td>[{'name': 'Minh Tran'}, {'name': 'Ellen Bradle...</td>\n",
" <td>[{'@href': 'http://arxiv.org/abs/2108.09934v1'...</td>\n",
" <td>{'@xmlns:arxiv': 'http://arxiv.org/schemas/ato...</td>\n",
" <td>{'@term': 'cs.CV', '@scheme': 'http://arxiv.or...</td>\n",
" <td>{'@xmlns:arxiv': 'http://arxiv.org/schemas/ato...</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>196</th>\n",
" <td>http://arxiv.org/abs/2112.13795v2</td>\n",
" <td>2022-04-28T15:00:48Z</td>\n",
" <td>2021-12-27T17:20:12Z</td>\n",
" <td>Evaluating Contextual Embeddings and their Ext...</td>\n",
" <td>Recent works have demonstrated ability to asse...</td>\n",
" <td>[{'name': 'Matthew Matero'}, {'name': 'Albert ...</td>\n",
" <td>[{'@href': 'http://arxiv.org/abs/2112.13795v2'...</td>\n",
" <td>{'@xmlns:arxiv': 'http://arxiv.org/schemas/ato...</td>\n",
" <td>[{'@term': 'cs.CL', '@scheme': 'http://arxiv.o...</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>197</th>\n",
" <td>http://arxiv.org/abs/2112.14314v1</td>\n",
" <td>2021-12-28T22:23:08Z</td>\n",
" <td>2021-12-28T22:23:08Z</td>\n",
" <td>Improving Prediction of Cognitive Performance ...</td>\n",
" <td>Cognition in midlife is an important predictor...</td>\n",
" <td>[{'name': 'Sharath Koorathota'}, {'name': 'Aru...</td>\n",
" <td>[{'@href': 'http://arxiv.org/abs/2112.14314v1'...</td>\n",
" <td>{'@xmlns:arxiv': 'http://arxiv.org/schemas/ato...</td>\n",
" <td>{'@term': 'cs.LG', '@scheme': 'http://arxiv.or...</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>198</th>\n",
" <td>http://arxiv.org/abs/2202.00476v1</td>\n",
" <td>2022-01-12T20:22:43Z</td>\n",
" <td>2022-01-12T20:22:43Z</td>\n",
" <td>Exploring COVID-19 Related Stressors Using Top...</td>\n",
" <td>The COVID-19 pandemic has affected lives of pe...</td>\n",
" <td>[{'name': 'Yue Tong Leung'}, {'name': 'Farzad ...</td>\n",
" <td>[{'@href': 'http://arxiv.org/abs/2202.00476v1'...</td>\n",
" <td>{'@xmlns:arxiv': 'http://arxiv.org/schemas/ato...</td>\n",
" <td>{'@term': 'cs.CL', '@scheme': 'http://arxiv.or...</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>199</th>\n",
" <td>http://arxiv.org/abs/2204.09738v1</td>\n",
" <td>2022-04-20T18:40:39Z</td>\n",
" <td>2022-04-20T18:40:39Z</td>\n",
" <td>Res-CNN-BiLSTM Network for overcoming Mental H...</td>\n",
" <td>Mental Health Disturbance has many reasons and...</td>\n",
" <td>[{'name': 'Raunak Joshi'}, {'name': 'Abhishek ...</td>\n",
" <td>[{'@href': 'http://arxiv.org/abs/2204.09738v1'...</td>\n",
" <td>{'@xmlns:arxiv': 'http://arxiv.org/schemas/ato...</td>\n",
" <td>{'@term': 'cs.CL', '@scheme': 'http://arxiv.or...</td>\n",
" <td>{'@xmlns:arxiv': 'http://arxiv.org/schemas/ato...</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"<p>200 rows × 12 columns</p>\n",
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},
"metadata": {},
"execution_count": 14
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]
},
{
"cell_type": "markdown",
"source": [
"## Paper with Code examples"
],
"metadata": {
"id": "mZPL4FL_PjIm"
}
},
{
"cell_type": "code",
"source": [
"results = PaperWithCodeQuery.query('mental health', items_per_page=200)\n",
"results[:3]"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "8YwYTMD4P_9j",
"outputId": "7c8aaef8-624e-4680-c262-4ee07f796268"
},
"execution_count": null,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
"[{'id': 'smhd-a-large-scale-resource-for-exploring',\n",
" 'arxiv_id': '1806.05258',\n",
" 'nips_id': None,\n",
" 'url_abs': 'http://arxiv.org/abs/1806.05258v2',\n",
" 'url_pdf': 'http://arxiv.org/pdf/1806.05258v2.pdf',\n",
" 'title': 'SMHD: A Large-Scale Resource for Exploring Online Language Usage for Multiple Mental Health Conditions',\n",
" 'abstract': \"Mental health is a significant and growing public health concern. As language\\nusage can be leveraged to obtain crucial insights into mental health\\nconditions, there is a need for large-scale, labeled, mental health-related\\ndatasets of users who have been diagnosed with one or more of such conditions.\\nIn this paper, we investigate the creation of high-precision patterns to\\nidentify self-reported diagnoses of nine different mental health conditions,\\nand obtain high-quality labeled data without the need for manual labelling. We\\nintroduce the SMHD (Self-reported Mental Health Diagnoses) dataset and make it\\navailable. SMHD is a novel large dataset of social media posts from users with\\none or multiple mental health conditions along with matched control users. We\\nexamine distinctions in users' language, as measured by linguistic and\\npsychological variables. We further explore text classification methods to\\nidentify individuals with mental conditions through their language.\",\n",
" 'authors': ['Sean MacAvaney',\n",
" 'Bart Desmet',\n",
" 'Nazli Goharian',\n",
" 'Andrew Yates',\n",
" 'Luca Soldaini',\n",
" 'Arman Cohan'],\n",
" 'published': '2018-06-13',\n",
" 'conference': 'smhd-a-large-scale-resource-for-exploring-1',\n",
" 'conference_url_abs': 'https://aclanthology.org/C18-1126',\n",
" 'conference_url_pdf': 'https://aclanthology.org/C18-1126.pdf',\n",
" 'proceeding': 'coling-2018-8'},\n",
" {'id': 'multi-task-learning-for-mental-health-using',\n",
" 'arxiv_id': '1712.03538',\n",
" 'nips_id': None,\n",
" 'url_abs': 'http://arxiv.org/abs/1712.03538v1',\n",
" 'url_pdf': 'http://arxiv.org/pdf/1712.03538v1.pdf',\n",
" 'title': 'Multi-Task Learning for Mental Health using Social Media Text',\n",
" 'abstract': 'We introduce initial groundwork for estimating suicide risk and mental health\\nin a deep learning framework. By modeling multiple conditions, the system\\nlearns to make predictions about suicide risk and mental health at a low false\\npositive rate. Conditions are modeled as tasks in a multi-task learning (MTL)\\nframework, with gender prediction as an additional auxiliary task. We\\ndemonstrate the effectiveness of multi-task learning by comparison to a\\nwell-tuned single-task baseline with the same number of parameters. Our best\\nMTL model predicts potential suicide attempt, as well as the presence of\\natypical mental health, with AUC > 0.8. We also find additional large\\nimprovements using multi-task learning on mental health tasks with limited\\ntraining data.',\n",
" 'authors': ['Dirk Hovy', 'Margaret Mitchell', 'Adrian Benton'],\n",
" 'published': '2017-12-10',\n",
" 'conference': None,\n",
" 'conference_url_abs': None,\n",
" 'conference_url_pdf': None,\n",
" 'proceeding': None},\n",
" {'id': 'hashtag-healthcare-from-tweets-to-mental',\n",
" 'arxiv_id': '1708.01372',\n",
" 'nips_id': None,\n",
" 'url_abs': 'http://arxiv.org/abs/1708.01372v1',\n",
" 'url_pdf': 'http://arxiv.org/pdf/1708.01372v1.pdf',\n",
" 'title': 'Hashtag Healthcare: From Tweets to Mental Health Journals Using Deep Transfer Learning',\n",
" 'abstract': \"As the popularity of social media platforms continues to rise, an\\never-increasing amount of human communication and self- expression takes place\\nonline. Most recent research has focused on mining social media for public user\\nopinion about external entities such as product reviews or sentiment towards\\npolitical news. However, less attention has been paid to analyzing users'\\ninternalized thoughts and emotions from a mental health perspective. In this\\npaper, we quantify the semantic difference between public Tweets and private\\nmental health journals used in online cognitive behavioral therapy. We will use\\ndeep transfer learning techniques for analyzing the semantic gap between the\\ntwo domains. We show that for the task of emotional valence prediction, social\\nmedia can be successfully harnessed to create more accurate, robust, and\\npersonalized mental health models. Our results suggest that the semantic gap\\nbetween public and private self-expression is small, and that utilizing the\\nabundance of available social media is one way to overcome the small sample\\nsizes of mental health data, which are commonly limited by availability and\\nprivacy concerns.\",\n",
" 'authors': ['Parisa Rashidi',\n",
" 'Sherry Benton',\n",
" 'Martin Heesacker',\n",
" 'Benjamin Shickel'],\n",
" 'published': '2017-08-04',\n",
" 'conference': None,\n",
" 'conference_url_abs': None,\n",
" 'conference_url_pdf': None,\n",
" 'proceeding': None}]"
]
},
"metadata": {},
"execution_count": 15
}
]
},
{
"cell_type": "code",
"source": [
"results = pd.DataFrame(results)\n",
"results"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 1000
},
"id": "za1mkqbfQMsJ",
"outputId": "4a39d115-7867-4192-bca7-59637248cd69"
},
"execution_count": null,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
" id arxiv_id nips_id \\\n",
"0 smhd-a-large-scale-resource-for-exploring 1806.05258 None \n",
"1 multi-task-learning-for-mental-health-using 1712.03538 None \n",
"2 hashtag-healthcare-from-tweets-to-mental 1708.01372 None \n",
"3 quantifying-mental-health-from-social-media 1705.00335 None \n",
"4 triaging-content-severity-in-online-mental 1702.06875 None \n",
".. ... ... ... \n",
"149 chatbots-for-mental-health-support-exploring 2209.10183 None \n",
"150 leveraging-mental-health-forums-for-user None None \n",
"151 protocol-for-an-observational-study-on-the-1 2210.05169 None \n",
"152 the-best-of-both-worlds-combining-engineered None None \n",
"153 explainable-causal-analysis-of-mental-health 2210.08430 None \n",
"\n",
" url_abs \\\n",
"0 http://arxiv.org/abs/1806.05258v2 \n",
"1 http://arxiv.org/abs/1712.03538v1 \n",
"2 http://arxiv.org/abs/1708.01372v1 \n",
"3 http://arxiv.org/abs/1705.00335v1 \n",
"4 http://arxiv.org/abs/1702.06875v1 \n",
".. ... \n",
"149 https://arxiv.org/abs/2209.10183v1 \n",
"150 https://aclanthology.org/2022.lrec-1.580 \n",
"151 https://arxiv.org/abs/2210.05169v1 \n",
"152 https://aclanthology.org/2022.smm4h-1.50 \n",
"153 https://arxiv.org/abs/2210.08430v1 \n",
"\n",
" url_pdf \\\n",
"0 http://arxiv.org/pdf/1806.05258v2.pdf \n",
"1 http://arxiv.org/pdf/1712.03538v1.pdf \n",
"2 http://arxiv.org/pdf/1708.01372v1.pdf \n",
"3 http://arxiv.org/pdf/1705.00335v1.pdf \n",
"4 http://arxiv.org/pdf/1702.06875v1.pdf \n",
".. ... \n",
"149 https://arxiv.org/pdf/2209.10183v1.pdf \n",
"150 https://aclanthology.org/2022.lrec-1.580.pdf \n",
"151 https://arxiv.org/pdf/2210.05169v1.pdf \n",
"152 https://aclanthology.org/2022.smm4h-1.50.pdf \n",
"153 https://arxiv.org/pdf/2210.08430v1.pdf \n",
"\n",
" title \\\n",
"0 SMHD: A Large-Scale Resource for Exploring Onl... \n",
"1 Multi-Task Learning for Mental Health using So... \n",
"2 Hashtag Healthcare: From Tweets to Mental Heal... \n",
"3 Quantifying Mental Health from Social Media wi... \n",
"4 Triaging Content Severity in Online Mental Hea... \n",
".. ... \n",
"149 Chatbots for Mental Health Support: Exploring ... \n",
"150 Leveraging Mental Health Forums for User-level... \n",
"151 Protocol for an Observational Study on the Eff... \n",
"152 The Best of Both Worlds: Combining Engineered ... \n",
"153 Explainable Causal Analysis of Mental Health o... \n",
"\n",
" abstract \\\n",
"0 Mental health is a significant and growing pub... \n",
"1 We introduce initial groundwork for estimating... \n",
"2 As the popularity of social media platforms co... \n",
"3 Mental illnesses adversely affect a significan... \n",
"4 Mental health forums are online communities wh... \n",
".. ... \n",
"149 The growing demand for mental health support h... \n",
"150 The number of depression and suicide risk case... \n",
"151 There has been increasing interest in studying... \n",
"152 In recent years, there has been increasing int... \n",
"153 With recent developments in Social Computing, ... \n",
"\n",
" authors published \\\n",
"0 [Sean MacAvaney, Bart Desmet, Nazli Goharian, ... 2018-06-13 \n",
"1 [Dirk Hovy, Margaret Mitchell, Adrian Benton] 2017-12-10 \n",
"2 [Parisa Rashidi, Sherry Benton, Martin Heesack... 2017-08-04 \n",
"3 [Byron C. Wallace, Mário J. Silva, Paula Carva... 2017-04-30 \n",
"4 [Nazli Goharian, Andrew Yates, Sydney Young, A... 2017-02-22 \n",
".. ... ... \n",
"149 [Minlie Huang, Jialu Zhao, Jiaxin Wen, Yinhe Z... 2022-09-21 \n",
"150 [Vasudeva Varma, Niyati Chhaya, Pulkit Parikh,... None \n",
"151 [] 2022-10-11 \n",
"152 [Elma Kerz, Yu Qiao, Daniel Wiechmann, Sourabh... None \n",
"153 [Gunjan Saxena, Muskan Garg, Chandni Saxena] 2022-10-16 \n",
"\n",
" conference \\\n",
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"1 None \n",
"2 None \n",
"3 None \n",
"4 None \n",
".. ... \n",
"149 None \n",
"150 None \n",
"151 None \n",
"152 None \n",
"153 None \n",
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" conference_url_abs conference_url_pdf \\\n",
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"1 None None \n",
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"3 None None \n",
"4 None None \n",
".. ... ... \n",
"149 None None \n",
"150 None None \n",
"151 None None \n",
"152 None None \n",
"153 None None \n",
"\n",
" proceeding \n",
"0 coling-2018-8 \n",
"1 None \n",
"2 None \n",
"3 None \n",
"4 None \n",
".. ... \n",
"149 None \n",
"150 lrec-2022-6 \n",
"151 None \n",
"152 smm4h-coling-2022-10 \n",
"153 None \n",
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" <td>None</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>hashtag-healthcare-from-tweets-to-mental</td>\n",
" <td>1708.01372</td>\n",
" <td>None</td>\n",
" <td>http://arxiv.org/abs/1708.01372v1</td>\n",
" <td>http://arxiv.org/pdf/1708.01372v1.pdf</td>\n",
" <td>Hashtag Healthcare: From Tweets to Mental Heal...</td>\n",
" <td>As the popularity of social media platforms co...</td>\n",
" <td>[Parisa Rashidi, Sherry Benton, Martin Heesack...</td>\n",
" <td>2017-08-04</td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>quantifying-mental-health-from-social-media</td>\n",
" <td>1705.00335</td>\n",
" <td>None</td>\n",
" <td>http://arxiv.org/abs/1705.00335v1</td>\n",
" <td>http://arxiv.org/pdf/1705.00335v1.pdf</td>\n",
" <td>Quantifying Mental Health from Social Media wi...</td>\n",
" <td>Mental illnesses adversely affect a significan...</td>\n",
" <td>[Byron C. Wallace, Mário J. Silva, Paula Carva...</td>\n",
" <td>2017-04-30</td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>triaging-content-severity-in-online-mental</td>\n",
" <td>1702.06875</td>\n",
" <td>None</td>\n",
" <td>http://arxiv.org/abs/1702.06875v1</td>\n",
" <td>http://arxiv.org/pdf/1702.06875v1.pdf</td>\n",
" <td>Triaging Content Severity in Online Mental Hea...</td>\n",
" <td>Mental health forums are online communities wh...</td>\n",
" <td>[Nazli Goharian, Andrew Yates, Sydney Young, A...</td>\n",
" <td>2017-02-22</td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" </tr>\n",
" <tr>\n",
" <th>...</th>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>149</th>\n",
" <td>chatbots-for-mental-health-support-exploring</td>\n",
" <td>2209.10183</td>\n",
" <td>None</td>\n",
" <td>https://arxiv.org/abs/2209.10183v1</td>\n",
" <td>https://arxiv.org/pdf/2209.10183v1.pdf</td>\n",
" <td>Chatbots for Mental Health Support: Exploring ...</td>\n",
" <td>The growing demand for mental health support h...</td>\n",
" <td>[Minlie Huang, Jialu Zhao, Jiaxin Wen, Yinhe Z...</td>\n",
" <td>2022-09-21</td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" </tr>\n",
" <tr>\n",
" <th>150</th>\n",
" <td>leveraging-mental-health-forums-for-user</td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" <td>https://aclanthology.org/2022.lrec-1.580</td>\n",
" <td>https://aclanthology.org/2022.lrec-1.580.pdf</td>\n",
" <td>Leveraging Mental Health Forums for User-level...</td>\n",
" <td>The number of depression and suicide risk case...</td>\n",
" <td>[Vasudeva Varma, Niyati Chhaya, Pulkit Parikh,...</td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" <td>lrec-2022-6</td>\n",
" </tr>\n",
" <tr>\n",
" <th>151</th>\n",
" <td>protocol-for-an-observational-study-on-the-1</td>\n",
" <td>2210.05169</td>\n",
" <td>None</td>\n",
" <td>https://arxiv.org/abs/2210.05169v1</td>\n",
" <td>https://arxiv.org/pdf/2210.05169v1.pdf</td>\n",
" <td>Protocol for an Observational Study on the Eff...</td>\n",
" <td>There has been increasing interest in studying...</td>\n",
" <td>[]</td>\n",
" <td>2022-10-11</td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" </tr>\n",
" <tr>\n",
" <th>152</th>\n",
" <td>the-best-of-both-worlds-combining-engineered</td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" <td>https://aclanthology.org/2022.smm4h-1.50</td>\n",
" <td>https://aclanthology.org/2022.smm4h-1.50.pdf</td>\n",
" <td>The Best of Both Worlds: Combining Engineered ...</td>\n",
" <td>In recent years, there has been increasing int...</td>\n",
" <td>[Elma Kerz, Yu Qiao, Daniel Wiechmann, Sourabh...</td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" <td>smm4h-coling-2022-10</td>\n",
" </tr>\n",
" <tr>\n",
" <th>153</th>\n",
" <td>explainable-causal-analysis-of-mental-health</td>\n",
" <td>2210.08430</td>\n",
" <td>None</td>\n",
" <td>https://arxiv.org/abs/2210.08430v1</td>\n",
" <td>https://arxiv.org/pdf/2210.08430v1.pdf</td>\n",
" <td>Explainable Causal Analysis of Mental Health o...</td>\n",
" <td>With recent developments in Social Computing, ...</td>\n",
" <td>[Gunjan Saxena, Muskan Garg, Chandni Saxena]</td>\n",
" <td>2022-10-16</td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"<p>154 rows × 13 columns</p>\n",
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},
"metadata": {},
"execution_count": 16
}
]
}
]
} |