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

Guide to IMDb Movie Dataset With Python Implementation

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

Deep learning on Movie Reviews Dataset (IMDB Dataset - 50k reviews)

Sentiment Analysis of IMDB Dataset using RF, KNN, and MNB, by Rajvir Ahmed Shuvo

Sentiment-Analysis-of-IMDB-Movie-Reviews/Untitled.ipynb at master · shivakrishna2497/Sentiment-Analysis-of-IMDB-Movie-Reviews · GitHub

Even the Score(s) with a Better IMDb Rating System

IMDB Genre Classification using Deep Learning

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