Skip to content
/ Using-LSTM-network-for-Sentiment-Analysis Public

Using Long Short Term Memory Model and Recursive Neural Network for Sentiment Analysis to use in the automated therapeutic app as an input to read intent of user in Google's cloud natural language processing service 'dialogflow' and on that basis we provide low cost therapy

2 stars 1 fork Branches Tags Activity
Star
Notifications You must be signed in to change notification settings

sumanismcse/Using-LSTM-network-for-Sentiment-Analysis

BranchesTags

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

6 Commits
README.md
README.md
 
 
Sentiment_Analyser_App_with_LSTM_network.ipynb
Sentiment_Analyser_App_with_LSTM_network.ipynb
 
 
sentiment_analyser_app_with_lstm_network.py
sentiment_analyser_app_with_lstm_network.py
 
 

Repository files navigation

Using-LSTM-network-for-Sentiment-Analysis

About

Using Long Short Term Memory Model and Recursive Neural Network for Sentiment Analysis to use in the automated therapeutic app as an input to read intent of user in Google's cloud natural language processing service 'dialogflow' and on that basis we provide low cost therapy

Topics

python sentiment-analysis jupyter-notebook pytorch lstm lstm-model movie-reviews sentiment-polarity sentiment-analyser lstm-neural-networks sentiment-classifier sentiment-classification long-short-term-memory-models long-short-term-memory onnx lstm-sentiment-analysis colab-notebook onnx-tf onnx-backend pytorch-implementation

Resources

Readme
Activity

Stars

2 stars

Watchers

2 watching

Forks

1 fork
Report repository

Releases

No releases published

Packages

No packages published

Languages