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» Extracting and Ranking Product Features in Opinion Documents
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COLING
2010
13 years 11 days ago
Topic-Based Bengali Opinion Summarization
In this paper the development of an opinion summarization system that works on Bengali News corpus has been described. The system identifies the sentiment information in each docu...
Amitava Das, Sivaji Bandyopadhyay
WWW
2005
ACM
14 years 6 months ago
Opinion observer: analyzing and comparing opinions on the Web
The Web has become an excellent source for gathering consumer opinions. There are now numerous Web sites containing such opinions, e.g., customer reviews of products, forums, disc...
Bing Liu, Minqing Hu, Junsheng Cheng
FSKD
2008
Springer
157views Fuzzy Logic» more  FSKD 2008»
13 years 6 months ago
Recommended or Not? Give Advice on Online Products
This paper introduces an opinion judgment system that automatically gives advice on whether to recommend this product and furthermore provides corresponding reasons. The core task...
Bing Qin, Yanyan Zhao, Leilei Gao, Ting Liu
SOCIALCOM
2010
13 years 3 months ago
Opinion Summarization in Bengali: A Theme Network Model
Theme network is a semantic network of document specific themes. So far Natural Language Processing (NLP) research patronized much of topic based summarizer system, unable to captu...
Amitava Das, Sivaji Bandyopadhyay
ICDM
2003
IEEE
238views Data Mining» more  ICDM 2003»
13 years 10 months ago
Sentiment Analyzer: Extracting Sentiments about a Given Topic using Natural Language Processing Techniques
We present Sentiment Analyzer (SA) that extracts sentiment (or opinion) about a subject from online text documents. Instead of classifying the sentiment of an entire document abou...
Jeonghee Yi, Tetsuya Nasukawa, Razvan C. Bunescu, ...