Update README 2022

README.md

@@ -5,10 +5,10 @@ widget:
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-# Twitter-roBERTa-base for Sentiment Analysis - UPDATED (2021)
+# Twitter-roBERTa-base for Sentiment Analysis - UPDATED (2022)
 
-This is a roBERTa-base model trained on ~124M tweets from January 2018 to December 2021 (see [here](https://huggingface.co/cardiffnlp/twitter-roberta-base-2021-124m)), and finetuned for sentiment analysis with the TweetEval benchmark. 
-The original roBERTa-base model can be found [here](https://huggingface.co/cardiffnlp/twitter-roberta-base-2021-124m) and the original reference paper is [TweetEval](https://github.com/cardiffnlp/tweeteval). This model is suitable for English. 
+This is a RoBERTa-base model trained on ~124M tweets from January 2018 to December 2021, and finetuned for sentiment analysis with the TweetEval benchmark. 
+The original Twitter-based RoBERTa model can be found [here](https://huggingface.co/cardiffnlp/twitter-roberta-base-2021-124m) and the original reference paper is [TweetEval](https://github.com/cardiffnlp/tweeteval). This model is suitable for English. 
 
 - Reference Paper: [TimeLMs paper](https://arxiv.org/abs/2202.03829). 
 - Git Repo: [TimeLMs official repository](https://github.com/cardiffnlp/timelms).
@@ -18,6 +18,8 @@ The original roBERTa-base model can be found [here](https://huggingface.co/cardi
 1 -> Neutral;
 2 -> Positive
 
+This sentiment analysis model has been integrated into [TweetNLP](https://github.com/cardiffnlp/tweetnlp). You can access the demo [here](https://tweetnlp.org).
+
 ## Example Pipeline
 ```python
 from transformers import pipeline