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» Extracting Product Features and Sentiments from Chinese Cust...
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WWW
2008
ACM
14 years 5 months ago
Hidden sentiment association in chinese web opinion mining
The boom of product review websites, blogs and forums on the web has attracted many research efforts on opinion mining. Recently, there was a growing interest in the finergrained ...
Qi Su, Xinying Xu, Honglei Guo, Zhili Guo, Xian Wu...
JUCS
2010
213views more  JUCS 2010»
13 years 3 months ago
Mining Feature-Opinion in Online Customer Reviews for Opinion Summarization
: Online customer reviews is considered as a significant informative resource which is useful for both potential customers and product manufacturers. In web pages, the reviews are ...
Gamgarn Somprasertsri, Pattarachai Lalitrojwong
JCDL
2011
ACM
244views Education» more  JCDL 2011»
12 years 7 months ago
Product review summarization from a deeper perspective
With product reviews growing in depth and becoming more numerous, it is growing challenge to acquire a comprehensive understanding of their contents, for both customers and produc...
Duy Khang Ly, Kazunari Sugiyama, Ziheng Lin, Min-Y...
EMNLP
2009
13 years 2 months ago
Review Sentiment Scoring via a Parse-and-Paraphrase Paradigm
This paper presents a parse-and-paraphrase paradigm to assess the degrees of sentiment for product reviews. Sentiment identification has been well studied; however, most previous ...
Jingjing Liu, Stephanie Seneff
KDD
2009
ACM
266views Data Mining» more  KDD 2009»
13 years 11 months ago
OpinionMiner: a novel machine learning system for web opinion mining and extraction
Merchants selling products on the Web often ask their customers to share their opinions and hands-on experiences on products they have purchased. Unfortunately, reading through al...
Wei Jin, Hung Hay Ho, Rohini K. Srihari