International Conference on Machine Learning (ICML), 2011. Dataset Details
Advanced models like CNNs , LSTMs, and Transformers are frequently tested on this dataset. jada-imdb
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
The raw data is hosted by Stanford University and is also available on Kaggle . IMDb Sentiment Analysis Using Naive Bayes - IJFMR Foundational IMDb Dataset Paper The raw data is
Andrew L. Maas, Raymond E. Daly, Peter T. Pham, Dan Huang, Andrew Y. Ng, and Christopher Potts.
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:
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