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.

LSVM on ACL IMDB large movie review dataset

IMDB Sentiment Analysis based on comment Machine Learning

IMDb - Wikipedia

Distribution of positive and negative texts in IMDB Movie review

Unexpected Surprises: IMDB Movie Analytics - InterWorks

How to Predict Sentiment from Movie Reviews Using Deep Learning (Text Classification)

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

IMDB Dataset of 50K Movie Reviews

PDF) Movie Review Analysis: Emotion Analysis of IMDb Movie Reviews

Number of movie reviews per class in the IMDB dataset.

Text Mining - Sentiment Analysis

Preparing IMDB Movie Review Data for NLP Experiments -- Visual Studio Magazine

Performance evaluation of models on IMDB movie reviews dataset

novyden: IMDb datasets: 3 centuries of movie rankings visualized