Update README.md

README.md

@@ -3,6 +3,7 @@ language: en
 tags:
 - aspect-term-sentiment-analysis
 - pytorch
+- ATSA
 datasets:
 - semeval2014
 widget:
@@ -15,7 +16,7 @@ widget:
 
 BERT LSTM based baseline, based on https://github.com/avinashsai/BERT-Aspect *BERT LSTM* implementation.The model trained on SemEval2014-Task 4 laptop and restaurant datasets.
 
-Our Github repo: https://github.com/tezignlab/BERT-LSTM-based-ABSA
+Our Github repo: https://github.com/tezignlab/BERT-LSTM-based-ATSA
 
 Code for the paper "Utilizing BERT Intermediate Layers for Aspect Based Sentiment Analysis and Natural Language Inference" https://arxiv.org/pdf/2002.04815.pdf.
 
@@ -24,7 +25,7 @@ Code for the paper "Utilizing BERT Intermediate Layers for Aspect Based Sentimen
 ```python
 from transformers import AutoTokenizer, AutoModelForSequenceClassification, TextClassificationPipeline
 
-MODEL = "tezign/BERT-LSTM-based-ABSA"
+MODEL = "tezign/BERT-LSTM-based-ATSA"
 
 tokenizer = AutoTokenizer.from_pretrained(MODEL)