Web Application for Sentiment Analysis
In E-Commerce sector lots of user raw data is generated every day. This application will tap into the user reviews and will give
insight of data by:
Giving the User's review Sentiment
Will help in gaining understanding of consumer needs.
This will lead to reduce manufacturing defects.
Improve overall business operation
This project was developed as a part of Final year Project towards the Completion of B.Tech program.
Skills Demonstrated:
Python Programming, Data Cleaning, Data Analysis, Natural Language Processing, FLASK.
It's a Natural Language Processing Based Application. NLP is the field of Deep Learning , for this We have used BERT (Bidirectional Encoder Representations from Transformers) Model is trained on 5000 user reviews collected from E Commerce site.
Front End is in Responsive HTML. Backend is in Python. We have used FLASK API to integrated front-end and back-end.