[Code Addition Request]: Add Sentiment Analysis of Restaurant Reviews Project

[Tusharb331]

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Guidelines

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• [ ] I have the link to my latest merged PR

Latest Merged PR Link

NA (1st issue)

Project Description

Overview

This project focuses on sentiment analysis using machine learning techniques. The goal is to classify the sentiment of textual data into positive or negative categories. By leveraging various machine learning algorithms, this project aims to provide insights into customer opinions expressed in restaurant reviews.

Technologies Used

• Python: The primary programming language used for data manipulation, model building, and evaluation.
• NLTK (Natural Language Toolkit): A powerful library for working with human language data (text). It provides tools for text processing, including tokenization, stemming, and removing stopwords.
• Scikit-learn: A robust library for machine learning in Python, which provides tools for model training, evaluation, and feature extraction.
• Jupyter Notebook: An interactive environment for developing and presenting data science projects. It allows for easy experimentation and visualization of results.

Full Name

Tushar Bansal

Participant Role

GSSOC , hacktoberfest

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