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» Extracting and Ranking Product Features in Opinion Documents
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COLING
2010
12 years 11 months ago
Extracting and Ranking Product Features in Opinion Documents
An important task of opinion mining is to extract people's opinions on features of an entity. For example, the sentence, "I love the GPS function of Motorola Droid"...
Lei Zhang, Bing Liu, Suk Hwan Lim, Eamonn O'Brien-...
WWW
2003
ACM
14 years 5 months ago
Mining the peanut gallery: opinion extraction and semantic classification of product reviews
The web contains a wealth of product reviews, but sifting through them is a daunting task. Ideally, an opinion mining tool would process a set of search results for a given item, ...
Kushal Dave, Steve Lawrence, David M. Pennock
LREC
2010
251views Education» more  LREC 2010»
13 years 6 months ago
Extracting Product Features and Sentiments from Chinese Customer Reviews
With the growing interest in opinion mining from web data, more works are focused on mining in English and Chinese reviews. Probing into the problem of product opinion mining, thi...
Shu Zhang, Wen-Jie Jia, Yingju Xia, Yao Meng, Hao ...
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
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