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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 ...
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, ...
DEXA
2008
Springer
151views Database» more  DEXA 2008»
13 years 6 months ago
Extraction of Opposite Sentiments in Classified Free Format Text Reviews
Opinion mining received well attention in finding personal opinions from user generated content. These opinions contain valuable information for improving and/or comparing the prod...
Dong (Haoyuan) Li, Anne Laurent, Mathieu Roche, Pa...
SEMCO
2008
IEEE
13 years 11 months ago
A Comparative Study of Feature Extraction Algorithms in Customer Reviews
The paper systematically compares two feature extraction algorithms to mine product features commented on in customer reviews. The first approach [17] identifies candidate featu...
Liliana Ferreira, Niklas Jakob, Iryna Gurevych
ALPIT
2007
IEEE
13 years 11 months ago
Kernel-based Sentiment Classification for Chinese Sentence
Recent years have seen a large growth in the online customer reviews. Classifying these reviews into positive or negative ones would be helpful in business intelligence applicatio...
Linlin Li, Tianfang Yao