IMDb Movie Reviews Dataset

The IMDb Movie Reviews dataset is a binary sentiment analysis dataset consisting of 50,000 reviews from the Internet Movie Database (IMDb) labeled as positive or negative. The dataset contains an even number of positive and negative reviews. Only highly polarizing reviews are considered. A negative review has a score ≤ 4 out of 10, and a positive review has a score ≥ 7 out of 10. No more than 30 reviews are included per movie. The dataset contains additional unlabeled data.

Data Analysis End-to-End IMDb dataset, by Ognish Banerjee, Analytics Vidhya

GitHub - roshancyriacmathew/Machine-Learning-on-Movie-Reviews-IMDB-Dataset ---50k-reviews-: This project demonstrates how to create a sentiment analysis and machine learning model on the IMDB dataset

PDF] Sentiment Analysis on IMDB Movie Comments and Twitter Data by Machine Learning and Vector Space Techniques

Error curves for the compact representation of IMDB movie review dataset.

PDF) Sentiment Analysis on IMDb Movie Reviews Using Hybrid Feature Extraction Method

Movie Review Sentiment Classification

IMDB Movie Dataset Analysis: Sarada Saripalli, PDF, Regression Analysis

Working with IMDB Movie Review Data Vocabulary Collections

Text Cleaning and Hyperparameter Optimization on a IMDB movie review dataset with a Support Vector Machines model in Python, by Giovanni Valdata

IMDB Dataset of 50K Movie Reviews