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.

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

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

IMDB Genre Classification using Deep Learning

IMDB dataset (Sentiment analysis) in CSV format

Q-b1t/IMDB-Dataset-of-50K-Movie-Reviews-Backup · Datasets at Hugging Face

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

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

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

SENTIMENT ANALYSIS FOR MOVIES REVIEWS DATASET USING DEEP LEARNING MODELS

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