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Sentiment Analysis Model

Introduction

In today's world, where we have shifted most of our daily life on the internet, it is important for businesses to have the knowledge of what is the market trend for their products and/or services. That's where Sentiment Analysis comes to play. Sentiment Analysis helps the businesses understand whether a user likes the product/service they offer by displaying the sentiment associated with the review.

Try it out for yourself

Heroku App

Our Version (v0)

In our version, we focussed on creating a binary Sentiment Analysis model which detects whether the comment is Positive or Negative.

Working

Technologies Used

  • NLP
  • Pandas
  • NLTK
  • Flask
  • HTML
  • CSS
  • Bootstrap

Output

For a positive comment, Positive Output

For a negative comment, Negative Output

About

Created a basic +/- Sentiment Analysis model using NLP and deployed using Flask

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