Classify Your Review

About

About ReviewClassifier

ReviewClassifier is a web application that classifies reviews into positive and negative categories. The application uses a machine learning model to classify the reviews. The model is trained using a dataset of reviews that are labeled as positive and negative. The model is then used to predict the sentiment of new reviews. The application is built using Flask, a Python web framework, and deployed on Heroku, a cloud platform as a service. The application is designed to be simple and easy to use. Users can enter a review in a text box and click a button to classify the review. The application will then display the predicted sentiment of the review.

You can easily input your text in the text box and click the button to classify the review. The application will then display the predicted sentiment of the review.

You can also download the source code of this project from the GitHub repository. To visit click here

The aim of this project is to build a end-to-end machine learning project that can predict a input product review positive or negative.

The model us logistic regression algorithm to classify the reviews. The model is trained using more than 7000 reviews.

Steps to classify reviews

First, user needs to input a text. Then model will pre process and vectorize the text. Finally, model will predict the sentiment of the review. The predicted sentiment will be displayed to the user.