When Sentiment Analysis Meets Social Network: A Holistic User Behavior Modeling In Opinionated Data

Lin Gong University of Virginia
Hongning Wang University of Virginia


This paper studies User modeling.


User modeling is critical for understanding user intents, while it is also challenging as user intents are so diverse and not directly observable. Most existing works exploit specific types of behavior signals for user modeling, e.g., opinionated data or network structure; but the dependency among different types of user-generated data is neglected.

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