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.

GitHub - ReiCHU31/Sentiment-analysis-of-IMDb-movie-reviews

GitHub - Taha533/Sentiment-Analysis-of-IMDB-Movie-Reviews: This project focuses on sentiment analysis of movie reviews using the IMDb dataset. The dataset consists of 50,000 movie reviews labeled as positive or negative. The main goal of

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

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

Text Cleaning and Hyperparameter Optimization on a IMDB movie review dataset with a Support Vector Machines model in Python, by Giovanni Valdata

Sentiment Analysis For Classifying Sentiment Of Movie Reviews

Word vectors from IMDB movie review and Google news dataset.

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

LSVM on ACL IMDB large movie review dataset

Three sentence pair examples from IMDB Large Movie Review Dataset

LSTM: Sentimental Analysis Using Keras with IMDB dataset

Imdb Movie Data Analysis - Notebook by ABHILASH S (abhiluvarkala)

Binary classification result: IMDB Dataset of 50K Movie Reviews.

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