Update README.md

README.md

@@ -16,7 +16,7 @@ the custom code and model architecture has been included with the model.
 
 ## Example Code for inferencing
 
-### STEP 1 (Installing huggingface libs)
+### STEP 1 (Installing huggingface lib)
 
 ```bash
 pip install --upgrade huggingface_hub
@@ -62,7 +62,26 @@ Expected output
  ['battery life', 'great', 'positive']]
 ```
 
-# Training Process
+# DETAILS
 The model has been trained to use Grid Tagging Scheme (GTS) to predict `Opinion Target`, `Opinion Span` and `Sentiment Polarity`. The grid tagging example is shown 
 in the following diagram:
-![GTS DIAGRAM](./gts_pic.png)
+
+<figure>
+  <img src="./gts_pic.png" alt="gts-image" style="width:45%">
+  <figcaption>Fig 1. Grid tagging Scheme from <a href="https://aclanthology.org/2020.findings-emnlp.234/">(Wu et al., Findings 2020)</a> </figcaption>
+</figure>
+
+In the above sentence there are two absa triples. Each triple is expressed in the following order:
+
+[<span style="color:red">Aspect Term/Opinion Target</span>, <span style="color:#7393B3">opinion span</span>, <span style="color:purple">sentiment polarity</span>]
+
+The model and sample code as shown in the snippet with extract opinion triplets as: [
+[<span style="color:red">hot dogs</span>, <span style="color:#7393B3">top notch</span>, <span style="color:purple">positive</span>],
+[<span style="color:red">coffee</span>, <span style="color:#7393B3">avergae</span>, <span style="color:purple">neutral</span>]
+]
+
+Definitions <a href="https://aclanthology.org/2020.findings-emnlp.234/">(Wu et al., Findings 2020)</a>:
+
+1. <span style="color:red">Aspect Term/Opinion Target</span>: Aspect term, also known as opinion target, is the word or phrase in a sentence representing feature or entity of products or services.
+2. <span style="color:#7393B3">Opinion Term </span>: Opinion Term refers to the term in a sentence used to express attitudes or opinions explicitly.
+3. <span style="color:purple">Sentiment Polarity</span>: This is the sentiment expressed.