Master of Science in Data Science


Department of Computer Science

Faculty/ School

School of Mathematics and Computer Science (SMCS)

Date of Submission

Spring 2023


Dr. Abdul Basit Shaikh, Visiting Faculty, Department of Computer Science, School of Mathematics and Computer Science (SMCS)


This project focuses on sentiment analysis and theme selection of negative reviews using natural language processing techniques. By leveraging web scraping, text preprocessing, machine learning algorithms, and topic modeling, the project aims to automate the analysis of negative reviews and provide valuable insights for businesses. The solution involves scraping data from online review platforms, preprocessing the text data, performing sentiment analysis using machine learning algorithms, and categorizing reviews into different topics using topic modeling techniques. The project code is implemented in Python, utilizing popular libraries such as pandas, numpy, scikit - learn, and nltk. The potential impact of this project lies in its ability to help businesses improve their products, services, and customer satisfaction by identifying common issues and sentiments expressed in negative reviews.

Document Type

Restricted Access

Submission Type

Research Project

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