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.

Text Mining - Sentiment Analysis

novyden: IMDb datasets: 3 centuries of movie rankings visualized

IMDB Movie Ratings Sentiment Analysis

GitHub - Balakishan77/Sentiment-Analyis-of-IMDB-dataset: Predicting sentiment of the IMDB reviews

Machine Learning (Natural Language Processing - NLP): Sentiment Analysis I - 2020

ajaykarthick/imdb-movie-reviews · Datasets at Hugging Face

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

ajaykarthick/imdb-movie-reviews · Datasets at Hugging Face

Solved Dataset ：IMDB Dataset of 50K Movie Reviews

imdb

Solved Dataset ：IMDB Dataset of 50K Movie Reviews

NLP - SENTIMENT ANALYSIS ON IMDB MOVIE DATASET ”, by Ashis Kumar Panda

Binary Classification of IMDB Movie Reviews, by Rakshit Raj