A Systematic Framework for Sentiment Identification by Modeling User Social Effects

Social media is becoming a major and popular technological platform that allows users to express personal opinions toward the subjects with shared interests. Identifying the sentiments of these social media data can help users make informed decisions. Existing research mainly focus on developing alg...

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Bibliographic Details

Published in:	2014 IEEE/WIC/ACM International Joint Conferences on Web Intelligence (WI) and Intelligent Agent Technologies (IAT) Vol. 2; pp. 172 - 179
Main Authors:	Zhang, Kunpeng, Yang, Yi, Sun, Aaron, Liu, Hengchang
Format:	Conference Proceeding
Language:	English
Published:	IEEE 01.08.2014
Subjects:	Collaboration collaborative filtering Educational institutions Facebook Media Message systems Motion pictures peer influence Sentiment social effects Twitter
Online Access:	Get full text
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