A lexicon-enhanced method for sentiment classification: An experiment on online product reviews

Yan Dang; Yulei Zhang; Hsinchun Chen

doi:10.1109/MIS.2009.105

A lexicon-enhanced method for sentiment classification: An experiment on online product reviews

Yan Dang, Yulei Zhang, Hsinchun Chen

Business, The W.A. Franke College of (CoB)

Research output: Contribution to journal › Article › peer-review

208 Scopus citations

Abstract

A proposed lexicon-enhanced method for sentiment classification combines machine-learning and semantic-orientation approaches into one framework that significantly improves sentiment-classification performance.

Original language	English (US)
Article number	5339128
Pages (from-to)	46-53
Number of pages	8
Journal	IEEE Intelligent Systems
Volume	25
Issue number	4
DOIs	https://doi.org/10.1109/MIS.2009.105
State	Published - 2010

ASJC Scopus subject areas

Computer Networks and Communications
Artificial Intelligence

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10.1109/MIS.2009.105

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title = "A lexicon-enhanced method for sentiment classification: An experiment on online product reviews",

abstract = "A proposed lexicon-enhanced method for sentiment classification combines machine-learning and semantic-orientation approaches into one framework that significantly improves sentiment-classification performance.",

author = "Yan Dang and Yulei Zhang and Hsinchun Chen",

note = "Funding Information: This work was supported by the US National Science Foundation{\textquoteright}s Computer and Network Systems (CNS) Program, under grant number CNS-0709338, between September 2007 and August 2010.",

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T2 - An experiment on online product reviews

AU - Dang, Yan

AU - Zhang, Yulei

AU - Chen, Hsinchun

N1 - Funding Information: This work was supported by the US National Science Foundation’s Computer and Network Systems (CNS) Program, under grant number CNS-0709338, between September 2007 and August 2010.

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Y1 - 2010

N2 - A proposed lexicon-enhanced method for sentiment classification combines machine-learning and semantic-orientation approaches into one framework that significantly improves sentiment-classification performance.

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JO - IEEE Intelligent Systems

JF - IEEE Intelligent Systems

IS - 4

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ER -

A lexicon-enhanced method for sentiment classification: An experiment on online product reviews

Abstract

ASJC Scopus subject areas

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