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Detecting Emotion, Intent, Deception and other Signals in Text

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Published on Jan 23, 2015

Webinar Abstract:
All sentiment analysis systems can deliver positive/negative/neutral classifications. But there are many other useful signals in text:
emotion, intent, speculation, risk, etc. This talk will present a survey of relevant techniques and the state of the art in recognising these other dimensions of sentiment in text and describe some practical and some potential applications in finance and elsewhere.

Presenter: Stephen Pulman; TheySay Analytics

Presenter CV:

Stephen Pulman is Professor of Computational Linguistics at the Department of Computer Science, Oxford University. He is a Professorial Fellow of Somerville College, Oxford, and a Fellow of the British Academy. He has also held visiting professorships at the Institut für Maschinelle Sprachverarbeitung, University of Stuttgart; and at Copenhagen Business School. He is a co-founder of TheySay Ltd. Previous positions include Professor of General Linguistics at Oxford University, Assistant Professor (Reader) at the University of Cambridge Computer Laboratory, and Director of SRI International's Cambridge Computer Science Research Center.

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