This is a Python project that performs tokenization, stop word removal, positional indexing, phrase query searching, term frequency-inverse document frequency (TF-IDF) calculation, cosine similarity computation, and document ranking.

Indexing and Retrieval Models

Data Mining, Clustering and Classification

Analyzing and processing social media data on Twitter using Python

Performance Analysis of Entity Matching With Fuzzy Wuzzy on Fairness AI Articles

Movie Recommender System leverages a content-based approach, suggesting films to users based on the attributes of movies they have previously enjoyed. By analyzing movie metadata such as genre, cast, director, keywords, etc., this project offers personalized recommendations aligned with users' cinematic tastes.

Data Preprocessing and Feature Extraction

Text processing, stop word removal, and word frequency analysis using Python run in a Docker container.