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Sentiment analysis in Galaxy with IMDB movie review dataset

<p>IMDB movie review sentiment classification dataset (Andrew L. Maas, Raymond E. Daly, Peter T. Pham, Dan Huang, Andrew Y. Ng, and Christopher Potts. (2011).&nbsp;Learning Word Vectors for Sentiment Analysis.&nbsp;The 49th Annual Meeting of the Association for Computational Linguistics (ACL 2011)). For more information&nbsp;please refer to:&nbsp;https://ai.stanford.edu/~amaas/data/sentiment/<br> <br> The IMDB dataset was modified as follows to prepare it for use in a Galaxy Training Tutorial (https://training.galaxyproject.org/):<br> <br> The top 50 words are excluded (mostly stop words). Included&nbsp;the next 10,000 top words. Reviews are limited to&nbsp;500 words max (Longer reviews trimmed and shorter reviews are padded). 25,000 reviews are used for training and testing each. Files are&nbsp;in tsv (tab separated value) format to be consumed by Galaxy (www.usegalaxy.org).&nbsp;</p>

ShareScore

44/100

Overall dataset sharing score

Score breakdown

These five areas show where the dataset supports — or may limit — practical reuse.

Stewardship
8
Harmonization
4
Access
20
Reuse readiness
8
Engagement
4

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