Movie Reviews GitHub Repositories

:movie_camera: Material designed awesome movie app which is powered by tmdb.

Movie Ratings Synchronization with Python

Official replication package for IJFE (2026). Asynchronous ETL pipeline using GPT-4o to quantify investor distraction shocks from unstructured movie reviews.

Data pipeline performing ETL to AWS Redshift using Spark, orchestrated with Apache Airflow

Watch movies with the freedom (not) to filter

A Simple IMDb API for Python

Naver movie review sentiment classification with KoBERT

Movies Reviewed by people, for people

Deep-Atrous-CNN-Text-Network: End-to-end word level model for sentiment analysis and other text classifications

Show metacritic metascore and user ratings on Bandcamp, Apple Itunes, Amazon, IMDb, Google Play, TV.com, Steam, Gamespot, Rotten Tomatoes, Serienjunkies, BoxOfficeMojo, allmovie.com, movie.com, Wikipedia, themoviedb.org, letterboxd, TVmaze, TVGuide, followshows.com, TheTVDB, ConsequenceOfSound, Pitchfork, Last.fm, TVNfo, rateyourmusic.com, GOG, Epic Games Store

A cli tool to get movie ratings and reviews directly to your terminal!

🍿 Welcome to The MovieVerse: Your definitive gateway to cinema! Explore, discover, and immerse yourself in a vast collection of films with our web platform. Experience the world of movies on our web version today. Show your love for cinema by giving us a star! 🌟

Dictionaries for sentiment analysis

PyTorch implementation of Sentiment Analysis of the long texts written in Serbian language (which is underused language) using pretrained Multilingual RoBERTa based model (XLM-R) on the small dataset.

Colab Compatible FastAI notebooks for NLP and Computer Vision Datasets

Show Letterboxd rating on imdb.com, metacritic.com, rottentomatoes.com, BoxOfficeMojo, Amazon, Google Play, allmovie.com, Wikipedia, themoviedb.org, movies.com

Sentiment Analysis of movie reviews by sklearn's naive bayes and TfIdf word vectorizer.

🎬 Python IMDB client using the IMDB JSON web service made available for their iOS application.

Build a Movie Reviews Sentiment Classifier with Google's BERT Language Model

A Material-Designed light reader for better experience on reading news, movie reviews and trending articles [ 一款 MD 风格的极轻阅读 App，提供知乎日报、豆瓣电影等资源 ]

문화인들의 밤은 영화 커뮤니티 플랫폼으로, 사용자들이 영화에 대한 토론을 하고 정보를 공유할 수 있는 공간을 제공합니다. 백엔드는 Java와 Spring Boot를 사용했으며, 프론트엔드는 HTML, CSS, JavaScript로 구현되었습니다.

A rating-based sentiment dataset of IMDB movie reviews (WASSA 2014)

Labeled sentences from IMDb movie reviews

Python Data Analytics, Machine Learning & Natural Language Processing

I have built a model which will predict the sentiment of movie reviews. I used Naive-Bayes, SVM, and RNN+LSTM based model to obtain really good result.

Movie info web app using OMDb API — fetch ratings and details from IMDb and Rotten Tomatoes.

Recurrent Neural Network to classify the sentiments of the IMDb Movie Review.

Popcorntime Wordpress Theme

Sentiment Analysis of Movie Reviews is either positive or negative review, the dataset which is used is "IMDB Dataset of 50K Movie Reviews" and the machine learning algorithm which I used in this is Logistic Regression , Random Forest and LinearSVC.

This is the repository for the Sentiment Analysis task on IMDB Movie Reviews for classifying positive and negative reviews, using LSTM networks, TensorFlow and GloVe embedding.