Dataset Open Access

Sentiment analysis in Galaxy with IMDB movie review dataset

Kaivan Kamali

IMDB movie review sentiment classification dataset (Andrew L. Maas, Raymond E. Daly, Peter T. Pham, Dan Huang, Andrew Y. Ng, and Christopher Potts. (2011). Learning Word Vectors for Sentiment Analysis. The 49th Annual Meeting of the Association for Computational Linguistics (ACL 2011)). For more information please refer to: https://ai.stanford.edu/~amaas/data/sentiment/

The IMDB dataset was modified as follows to prepare it for use in a Galaxy Training Tutorial (https://training.galaxyproject.org/):

The top 50 words are excluded (mostly stop words). Included the next 10,000 top words. Reviews are limited to 500 words max (Longer reviews trimmed and shorter reviews are padded). 25,000 reviews are used for training and testing each. Files are in tsv (tab separated value) format to be consumed by Galaxy (www.usegalaxy.org). 

Andrew L. Maas, Raymond E. Daly, Peter T. Pham, Dan Huang, Andrew Y. Ng, and Christopher Potts. (2011). Learning Word Vectors for Sentiment Analysis. The 49th Annual Meeting of the Association for Computational Linguistics (ACL 2011). For more information please refer to: https://ai.stanford.edu/~amaas/data/sentiment/
Files (237.9 MB)
Name Size
X_test.tsv
md5:694514b7585fe9ca816b433f2611ae41
118.6 MB Download
X_train.tsv
md5:98ea1599b7942709af37ca5a6aff07d4
118.8 MB Download
y_test.tsv
md5:f9e351def7454dddd0def2bfcd7c6955
225.0 kB Download
y_train.tsv
md5:12703b87d2ad9f12b0639e97a2de4c9a
225.0 kB Download
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