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.

IMDB Movie Reviews (Binary Sentiment)

Sentiment Classification of IMDB Movie Review Data Using a PyTorch LSTM Network -- Visual Studio Magazine

IMDB Movie Dataset Analysis

IMDB Movie Dataset Analysis: Sarada Saripalli, PDF, Regression Analysis

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

Three sentence pair examples from IMDB Large Movie Review Dataset

LSTM: Sentimental Analysis Using Keras with IMDB dataset

GitHub - junaidfiaz143/Keras-MovieReview: This is the code for Binary Classification of IMDB dataset using Keras By M.Junaid Fiaz

Unexpected Surprises: IMDB Movie Analytics - InterWorks

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

IMDB Genre Classification using Deep Learning

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

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