In this project we are fetching the twitter comments related to animal rights. We use tweepy for this particular operation to fetch out the data from the twitter. After fetching this data, we did some data cleaning like normalizing, text cleaning.

The language Models we use over here was Vader, RoBERTa(Robust Bidirectional Encoded Representation Transformer). In this model, we were feeding data record by record, text by text, Models like RoBERTa predicts the sentiment for every text. Those sentiments were recorded.

Some word samples were provided to humans to predict and take out their accuracy. From the report, it became pretty clear that Roberta out performed vader and humans.

This data was provided to power bi to do some analysis, and it turns out that nearly 80-90% of the twitter users are supporting the animal rights.

And also it turns out that the number of vegans on twitter are as much as number of the people in the favour of animal rights.

I have done this project along with my friend so all in all, it was group project.