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AttitudeBuzz is a system that analyzes and presents complex social attitudes based on geolocated social media data. The system uses a machine learning model to apply highly domain-specific sentiment analysis to such data, specifically Twitter, by learning modulators around a configurable lexicon central to the domain of inquiry. Training data are acquired from geographical areas where a specific attitude...
This work investigates identifying social behaviors (adversarial behavior and influence) of participants in online discussion forums from how their language use in English, Arabic, and Chinese. We describe the challenges of annotating implicit information signaled by subtle queues and present two styles of annotation -- one using professional annotators and the other with Mechanical Turk. Our system,...
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