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Multilingual Opinion Holder and Target Extraction using Knowledge-Poor Techniques

Speaker

Taras Zagibalov

Affilliation

Sussex

Abstract

I will describe an approach to multilingual sentiment analysis, in particular opinion holder and opinion target extraction, which requires no annotated data and minimal language-specific input. The approach is based on unsupervised, knowledge-poor techniques which facilitate adaptation to new languages and domains. The system's results are comparable to those of supervised, language-specific systems previously applied to the NTCIR-7 MOAT evaluation data.

[Practice talk for LTC'09. Please note unusual time]

see also

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