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.

Working with IMDB Movie Review Data Vocabulary Collections

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

IMDB Dataset of 50K Movie Reviews

Sentiment Analysis On IMDB Movie Review, by Yash Alpeshbhai Patel

Movie reviews posted by the same user from the IMDB dataset

Distribution of positive and negative texts in IMDB Movie review

IMDB Genre Classification using Deep Learning

Sentiment Analysis On IMDB Movie Review, by Yash Alpeshbhai Patel

Binary Classification of IMDB Movie Reviews, by Rakshit Raj

Solved Dataset ：IMDB Dataset of 50K Movie Reviews

Whose ratings should you trust? IMDB, Rotten Tomatoes, Metacritic, or Fandango?