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.

Sentiment Analysis On IMDB Movie Review, by Yash Alpeshbhai Patel

Solved Dataset ：IMDB Dataset of 50K Movie Reviews

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

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

Sentimental Analysis Of IMDB Movie Reviews - Data Science

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

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

LSTM: Sentimental Analysis Using Keras with IMDB dataset

Issues · laxmimerit/IMDB-Movie-Reviews-Large-Dataset-50k · GitHub

Learn how to deal with label errors in the popular IMDb movie review dataset. : r/learnmachinelearning