Spam Movie Review Detection
This project focuses on detecting spam reviews on movie platforms like IMDb by classifying reviews into truthful, untruthful, or brand-only categories. The system removes duplicate reviews and analyzes attributes such as review questions, product comparisons, rating inconsistencies, and reviewer behavior. Key modules include review extraction, parsing, preprocessing, and classification. The classifier uses various features like […]
BI for Manufacturing Industry
The project involves building a data warehouse with facts and dimensions for the manufacturing industry, using SQL scripts to populate the database structure. Business queries and drill-down capabilities were created to extract insights, and around 20 dashboards were developed in Tableau. These dashboards allow dynamic input and display of data, enabling users to drill down […]
ML for Test Case Generation and Classification
This project focuses on using Machine Learning to automate test case generation from user stories. It involves pre-processing user stories with NLP to extract actions and expectations. The next step is training a machine learning model to classify the generated test cases as either unique or generic. Labeled tokens are used to classify new test […]
