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WeSearch_DataCollection

JonathonRead edited this page Dec 15, 2010 · 51 revisions

Background

We are seeking to collect user-generated text to support the evaluation of parser adaptation across domain/genre. The proposal specifies five types of sources: Open Access Research Literature, Wikipedia, Technology Blogs, Product Reviews and User Forums.

Potential Data Sources

Open Access Research Literature

Wikis

  • The WeScience corpus composed of Wikipedia articles in the domain of Natural Language Processing.

  • [http://www.thinkwiki.org/wiki/ThinkWiki ThinkWiki], a collection of reference materials and HOWTOs for Think Pad users, with a particular focus on linux. All information found on this wiki is published under the GNU Free Documentation License.

  • [http://wiki.laptop.org/go/The_OLPC_Wiki The One Laptop Per Child Wiki] describes work and ideas related to the One Laptop Per Child project. The content is available under Creative Commons Attribution 3.0.

  • [http://askdrwiki.com/mediawiki/index.php?title=Physician_Medical_Wiki Dr Wiki] is a nonprofit educational web site made by physicians for physicians, medical students, and healthcare providers. Content is available under Creative Commons Attribution-Non Commercial-Share Alike 3.0 Unported.

Product Reviews

  • [http://www.cs.cornell.edu/people/pabo/movie-review-data/ Polarity 2.0], a collection of 2,000 movie reviews originally posted on Usenet. Reviews are classified according to sentiment, and tokenised by sentence. Capitalisation information has been removed. About 1,400,000 tokens in 64,000 sentences.

  • Bing Lui's [http://www.cs.uic.edu/~liub/FBS/sentiment-analysis.html Amazon Product Review Data] contains about 5.8 million customer product reviews from Amazon, (about 980 million words). Licensing information is not mentioned, but Amazon's website says "Amazon grants you a limited license to access and make personal use of this site and not to download (other than page caching) or modify it, or any portion of it, except with express written consent of Amazon. This license does not include any resale or commercial use of this site or its contents; any collection and use of any product listings, descriptions, or prices; any derivative use of this site or its contents; any downloading or copying of account information for the benefit of another merchant; or any use of data mining, robots, or similar data gathering and extraction tools. This site or any portion of this site may not be reproduced, duplicated, copied, sold, resold, visited, or otherwise exploited for any commercial purpose without express written consent of Amazon.". The data is available in ~jread/data/lui

  • The [http://www.cs.jhu.edu/~mdredze/datasets/sentiment/ Multi-Domain Sentiment Dataset] also contains Amazon product reviews in several domains. The processed reviews are distributed as feature vectors. The unprocessed data is available in ~jread/data/mdsd.

  • [http://www.epinions.com/ Epinions] collects consumer reviews in the domains of: cars, books, movies, music, computers, electronics, gifts, home/garden, kids/family, office supply, sports and travel. Their usage policy states that "Using any automated means to access the site or collect any information from the site" is inappropriate, but perhaps it's worth sending an email, as [http://www.trustlet.org/wiki/Extended_Epinions_dataset Paolo Massa] obtained a dump directly from Epinions (but unfortunately did not retain the textual data).

  • http://www.category5.tv/product_reviews/ (creative commons).

  • http://www.geek.com/ "© 2010 Geeknet, Inc. "... but copyright details make no mention of redistribution.

Blogs

Mailing Lists

User Forums

Related Work

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