Analyzing and processing social media data on Twitter using Python

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.

Indexing and Retrieval Models

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.

Data Mining, Clustering and Classification

Data Preprocessing and Feature Extraction

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