𝗠𝗼𝗱𝗲𝗹 𝗖𝗼𝗻𝘁𝗲𝘅𝘁 𝗣𝗿𝗼𝘁𝗼𝗰𝗼𝗹 (𝗠𝗖𝗣) 𝗕𝗮𝘀𝗲𝗱 𝗖𝗟𝗜 𝗔𝗜 | 𝗧𝗼𝗼𝗹 𝗜𝗻𝘁𝗲𝗴𝗿𝗮𝘁𝗶𝗼𝗻 | 𝗚𝗲𝗺𝗶𝗻𝗶 𝟮.𝟬

A free, open-source, and minimalist web app for discovering movies and TV shows

Professional VADER sentiment analysis on IMDb movie reviews with comprehensive evaluation and error analysis (📉,📈)

Movie Review Management System: Java app to add, search, list, sort, and manage movie reviews. Includes file I/O for saving and uploading reviews.

Python-based scraper for collecting movie data from The Numbers and user reviews from IMDb, useful for text mining, sentiment analysis, and forecasting

Advanced sentiment analysis system for movie reviews using machine learning. Compares Logistic Regression, Naive Bayes, and SVM models with interactive prediction interface and comprehensive text preprocessing pipeline.

Analyzing movie reviews sentiment analysis using LSTM Model

Sentiment classification of movie reviews using NLTK and Logistic Regression

Sentiment analysis on IMDb movie reviews using LSTM-based Recurrent Neural Networks (unidirectional, bidirectional, stacked) in Keras/TensorFlow. Includes visualisations, model architecture, and suggestions for future improvements.

A fully local RAG pipeline that answers natural language questions about movie reviews. Uses Ollama for embeddings + local LLM, Chroma for the vector store, and LangChain to retrieve, summarize, and generate answers.

Sentiment analysis of IMDb movie reviews using TF-IDF and Logistic Regression

This repository, is designed for sentiment analysis of movie reviews. It contains code and resources to classify or analyze the sentiments expressed in movie review texts (e.g., positive, negative, neutral), using techniques from nlp.

IMDB Movie Reviews Sentiment Analysis

This repository contains a binary sentiment classifier for IMDb movie reviews using TensorFlow and Keras