Skip to content

In this project I have proposed one method which includes CNN and LSTM model building to analyse the sentiment of the twitter data. For the same I have given the comparison with classical Naive Bayes model and stacked RNN LSTM model. I have given the explanation why the CNN LSTM model is working good in small corpus and I have given the explanat…

Notifications You must be signed in to change notification settings

koustavagoswami/Sentiment-Analysis-of-Twitter-Data-Using-Deep-learning

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

2 Commits
 
 
 
 

Repository files navigation

Sentiment-Analysis-of-Twitter-Data-Using-Deep-learning

In this project I have proposed one method which includes CNN and LSTM model building to analyse the sentiment of the twitter data. For the same I have given the comparison with classical Naive Bayes model and stacked RNN LSTM model. I have given the explanation why the CNN LSTM model is working good in small corpus and I have given the explanation with different analysis process.

About

In this project I have proposed one method which includes CNN and LSTM model building to analyse the sentiment of the twitter data. For the same I have given the comparison with classical Naive Bayes model and stacked RNN LSTM model. I have given the explanation why the CNN LSTM model is working good in small corpus and I have given the explanat…

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published