Skip to content

The BERT Sentiment Analysis for Stock Tweets project aims to leverage state-of-the-art natural language processing (NLP) techniques, specifically BERT (Bidirectional Encoder Representations from Transformers), to analyze and understand sentiment in tweets related to stocks.

Notifications You must be signed in to change notification settings

abhishekjolad/BERTSentimentAnalysis

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

2 Commits
 
 
 
 
 
 
 
 

Repository files navigation

BERTSentimentAnalysis

The BERT Sentiment Analysis for Stock Tweets project aims to leverage state-of-the-art natural language processing (NLP) techniques, specifically BERT (Bidirectional Encoder Representations from Transformers), to analyze and understand sentiment in tweets related to stocks.

About

The BERT Sentiment Analysis for Stock Tweets project aims to leverage state-of-the-art natural language processing (NLP) techniques, specifically BERT (Bidirectional Encoder Representations from Transformers), to analyze and understand sentiment in tweets related to stocks.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published