Extracting Diverse Sentiment Expressions With Target-dependent Polarity from Twitter

Document Type

Poster

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.

APA 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

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