The raw data is hosted by Stanford University and is also available on Kaggle . IMDb Sentiment Analysis Using Naive Bayes - IJFMR
This paper introduced a dataset of , specifically balanced with 25,000 positive and 25,000 negative samples. It has since become the benchmark for testing various machine learning and deep learning models, including: jada-imdb
The original paper that established the large-scale IMDb movie review dataset used widely in Natural Language Processing (NLP) is: Learning Word Vectors for Sentiment Analysis The raw data is hosted by Stanford University
Often used as a baseline for binary classification performance. Andrew L
Andrew L. Maas, Raymond E. Daly, Peter T. Pham, Dan Huang, Andrew Y. Ng, and Christopher Potts.
While there is no single academic paper titled exactly "jada-imdb," the query most likely refers to the foundational paper that introduced the for sentiment analysis, which is the most cited work associated with this data. Foundational IMDb Dataset Paper
International Conference on Machine Learning (ICML), 2011. Dataset Details
