Wishful thinking: finding suggestions and 'buy' wishes from product reviews
CAAGET '10 Proceedings of the NAACL HLT 2010 Workshop on Computational Approaches to Analysis and Generation of Emotion in Text
HLT '11 Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies: short papers - Volume 2
Acquiring knowledge about human goals from Search Query Logs
Information Processing and Management: an International Journal
Automatic organization of human task goals for web-scale problem solving knowledge
Proceedings of the seventh international conference on Knowledge capture
Towards linking buyers and sellers: detecting commercial Intent on twitter
Proceedings of the 22nd international conference on World Wide Web companion
The ontology lifecycle in RoboCup: population from text and execution
Robot Soccer World Cup XV
PWWM: a personal web workflow methodology
The Personal Web
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In this paper, we introduce the idea of Intent Analysis, which is to create a profile of the goals and intentions present in textual content. Intent Analysis, similar to Sentiment Analysis, represents a type of document classification that differs from traditional topic categorization by focusing on classification by intent. We investigate the extent to which the automatic analysis of human intentions in text is feasible and report our preliminary results, and discuss potential applications. In addition, we present results from a study that focused on evaluating intent profiles generated from transcripts of American presidential candidate speeches in 2008.