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Statistical language models for information retrieval

نوع: Ebook

نویسنده : ChengXiang Zhai

ناشر: Morgan and Claypool Publishers

سال: 2008

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Statistical Language Models for Information Retrieval

نوع: Ebook

نویسنده : ChengXiang Zhai

ناشر: Morgan and Claypool Publishers

سال: 2008

Statistical Language Models for Information Retrieval

نوع: Ebook

نویسنده : ChengXiang Zhai

ناشر: Morgan and Claypool Publishers

سال: 2008

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SyntacticDiff: Operator-based transformation for comparative text mining

نوع: Journal Paper

نویسنده : Sean Massung; ChengXiang Zhai

سال: 2015

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Mining Coordinated Intent Representation for Entity Search and Recommendation

نوع: Journal Paper

نویسنده : Huizhong Duan; ChengXiang Zhai

سال: 2015

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Mining Semi-Structured Online Knowledge Bases to Answer Natural Language Questions on Community QA Websites

نوع: Journal Paper

نویسنده : Parikshit Sondhi; ChengXiang Zhai

سال: 2014

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Mining text data

نوع: Ebook

نویسنده : Charu C Aggarwal; ChengXiang Zhai

ناشر: Springer

سال: 2012

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A Survey of Text Classification Algorithms

نوع: Journal Paper

نویسنده : Charu C. Aggarwal; ChengXiang Zhai

سال: 2012

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Personalized generation of word clouds from tweets

نوع: Journal Paper

نویسنده : Martin Leginus; ChengXiang Zhai; Peter Dolog

سال: 2015

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A formal study of information retrieval heuristics

نوع: Journal Paper

نویسنده : Hui Fang; Tao Tao; ChengXiang Zhai

سال: 2004

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Statistical language models for information retrieval

Statistical Language Models for Information Retrieval

Statistical Language Models for Information Retrieval

SyntacticDiff: Operator-based transformation for comparative text mining

Mining Coordinated Intent Representation for Entity Search and Recommendation

Mining Semi-Structured Online Knowledge Bases to Answer Natural Language Questions on Community QA Websites

Mining text data

A Survey of Text Classification Algorithms

Personalized generation of word clouds from tweets

A formal study of information retrieval heuristics

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Statistical language models for information retrieval

Statistical Language Models for Information Retrieval

Statistical Language Models for Information Retrieval

SyntacticDiff: Operator-based transformation for comparative text mining

Mining Coordinated Intent Representation for Entity Search and Recommendation

Mining Semi-Structured Online Knowledge Bases to Answer Natural Language Questions on Community QA Websites

Mining text data

A Survey of Text Classification Algorithms

Personalized generation of word clouds from tweets

A formal study of information retrieval heuristics