Sponsor:

National Science Foundation OCI-1144061 (NSF)

Project Team Members:

• Alok Choudhary
• Wei-keng Liao
• Ankit Agrawal
• Mostofa Patwary
• Yu Cheng
• Dan Honbo
• Kathy Lee
• Diana Palsetia
• Yves Xie
• Kunpeng Zhang
• Bharath Pattabiraman

Social Media Data for Sentiment Analysis

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Description:

Social Media Data like Facebook, Twitter, blogs, etc. is currently growing in an exploding speed. Understanding their sentiments can help us mine knowledge and capture their ideas without necessarily going through all data, which will save us a huge amount of time. This web provides several datasets from social media for binary sentiment classification.

Publications:

These data sets were introduced in the following papers:

• Kunpeng Zhang, Yu Cheng, Yusheng Xie, Ankit Agrawal, Diana Palsetia, Kathy Lee, and Alok Choudhary, SES: Sentiment Elicitation System for Social Media Data, ICDM-SENTIRE 2011. pdf

• Kunpeng Zhang, Yu Cheng, Wei-keng Liao, Alok Choudhary, Mining Millions of Reviews: A Technique to Rank Products Based on Importance of Reviews, ICEC 2011. pdf

Please cite the version number of the dataset you used in any publications, in order to facilitate comparison of results. Thank you.

Download:

• Facebook Comments v1.0 - fb comments v1.0
• Tweets v1.0 - tweets v1.0
• Amazon Reivews v1.0 - reviews v1.0

CONTACT:

Most files in the suite are self explanatory and include comments. For comments or questions on the dataset please contact, please email us.