Sentiment-Based-Product-Recommendation-System

Sentiment based product recommendation system

Table of Contents

• General Info
• Approach
• Conclusions
• Acknowledgements

General Information

Build a model to provide product recommendation to user based on past rating

Objective

Build an optimal ML model that will improve the recommendations given to the users based on their past reviews and ratings

Approach

Data sourcing and sentiment analysis Building a recommendation system Improving the recommendations using the sentiment analysis model Deploying the end-to-end project with a user interface

Conclusions

Relevant Python notebook ,model file ,pkl files,deployment files are part of the github repo

Technologies Used

• Google collab
• Jupiter Notebook
• Programming : Python 3.x

Acknowledgements

• This project was assignment from UpGrad as part of course curriculum
• Reference : https://www.geeksforgeeks.org/deploy-a-machine-learning-model-using-streamlit-library/

Contact

Created by [@devimur2021]