Skip to content

Latest commit

 

History

History
7 lines (4 loc) · 448 Bytes

README.md

File metadata and controls

7 lines (4 loc) · 448 Bytes

bot-on-my-watch

Twitter Bot Detection using Contrastive Learning in NLP.

In our project, we apply the concept of contrastive learning (CL) to detect if a tweet is generated by a bot or if it is a human-generated tweet. We train a CL model using SimCSE to generate embeddings for tweets. We then train a classifier using these embeddings to detect to classify this tweet.

You can read more about this here