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A Generation Model to Unify Topic Relevance and Lexicon-based Sentiment for Opinion Retrieval Min Zhang Xingyao Ye
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Document Date: 2008-12-23 05:27:37

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City

Inference Network / Cambridge / Lexicon / /

Company

Wilson / MIT Press / Where co / Mei / TIVO / /

Country

China / Singapore / /

Currency

USD / /

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Facility

Tsinghua University / Software Tsinghua University / /

IndustryTerm

intuitive solution / web documents / opinion search / Opinion search systems / neutral web / word applications / on-line discussion / Topic-relevance search / Web environment / online public dictionaries / Online Document Collections / result re-ranking applications / natural language processing / Online Proceedings / web data / search results / Ad-hoc solutions / /

Organization

Natural Science Foundation / School of Software Tsinghua University Beijing / MIT / IDF / IEEE Computer Society Technical committee / Tsinghua University / Beijing / /

Person

Iop / Cheng X. Combining / Irel / Oprah Winfrey / /

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Position

topic relevance model / model / generation model for opinion retrieval / Cao / Language Model / title field using porter / General / opinion generation model / Retrieval Models General / /

Product

SentiWordNet / /

ProvinceOrState

Maryland / /

TVShow

MAP Prec / /

Technology

natural language processing / Machine Learning / digital video / /

URL

http /

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