Document Type
Presentation
Publication Date
2012
Abstract
This study focuses on automatic extraction of sentiment expressions associated with given targets from Twitter. It addresses one of the key challenges in this work: Wide diversity and informal nature of sentiment expressions that cannot be trivially enumerated or captured using predefined lexical patterns.
Repository Citation
Chen, L.,
Wang, W.,
Nagarajan, M.,
Wang, S.,
& Sheth, A. P.
(2012). Extracting Diverse Sentiment Expressions With Target-dependent Polarity from Twitter. .
https://corescholar.libraries.wright.edu/knoesis/254
Included in
Bioinformatics Commons, Communication Technology and New Media Commons, Databases and Information Systems Commons, OS and Networks Commons, Science and Technology Studies Commons
