Sentiment Analysis of Restaurant Reviews

Table of Content

• Demo
• Overview
• Motivation
• Technical Aspect
• Installation
• Technologies Used

Demo

Link:https://resturantreviewclassifier.herokuapp.com/

Overview

This is a simple Review classificatiom Flask app trained on Python NLTK Natural Language Processing Library

Motivation

What could be a perfect way to utilize unfortunate lockdown period ?As I often go to the restaurant, i am often handed a review giving sheet and only god knows what i write on that sheet at that time.They also might see that sheet as there are thousand of sheets every day,but at the end of the day ,they will have to find out the feedback about the services provided by the Restaurant.This app will help them to know about the sentiment of the review ,either it is a bad or good review

Technical Aspect

This Project is divided into two parts

1. Training the classification model using Bag of word model with the help of NLTK library 2.Building and Hosting a Flask web on Heroku Platform

Installation

The code is written in Python 3.7.You can install the NLTK library by using this command

pip install nltk

Technologies Used

Pyhton

NLTK

Gunicorn

Flask

LogisticRegression