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README.md

@@ -5,10 +5,13 @@ language:
 - ind
 ---
 
+# smsa
+
 SmSA is a sentence-level sentiment analysis dataset (Purwarianti and Crisdayanti, 2019) is a collection of comments and reviews
+
 in Indonesian obtained from multiple online platforms. The text was crawled and then annotated by several Indonesian linguists
-to construct this dataset. There are three possible sentiments on the SmSA dataset: positive, negative, and neutral
 
+to construct this dataset. There are three possible sentiments on the SmSA dataset: positive, negative, and neutral
 
 ## Dataset Usage
 
@@ -16,7 +19,8 @@ Run `pip install nusacrowd` before loading the dataset through HuggingFace's `lo
 
 ## Citation
 
-```@INPROCEEDINGS{8904199,
+```
+@INPROCEEDINGS{8904199,
     author={Purwarianti, Ayu and Crisdayanti, Ida Ayu Putu Ari},
     booktitle={2019 International Conference of Advanced Informatics: Concepts, Theory and Applications (ICAICTA)},
     title={Improving Bi-LSTM Performance for Indonesian Sentiment Analysis Using Paragraph Vector},
@@ -40,6 +44,8 @@ Creative Commons Attribution Share-Alike 4.0 International
 
 ## Homepage
 
+[https://github.com/IndoNLP/indonlu](https://github.com/IndoNLP/indonlu)
+
 ### NusaCatalogue
 
 For easy indexing and metadata: [https://indonlp.github.io/nusa-catalogue](https://indonlp.github.io/nusa-catalogue)