By a News Reporter-Staff News Editor at Information Technology Newsweekly -- New research on Information Technology is the subject of a report. According to news reporting out of Tokushima, Japan, by VerticalNews editors, research stated, "Identifying product features from reviews is the fundamental step as well as a bottleneck in feature-level sentiment analysis. This study proposes a method of unsupervised product feature extraction for feature-oriented opinion determination."
Our news journalists obtained a quote from the research from the University of Tokushima, "The domain-specific features are extracted by measuring the similarity distance of domain vectors. A domain vector is derived based on the association values between a feature and comparative domain corpora. A novel term similarity measure (PMI-TFIDF) is introduced to evaluate the association of candidate features and domain entities. The results show that our approach of feature extraction outperforms other state-of-the-art methods, and the only external resources used are comparative domain corpora. Therefore, it is generic and unsupervised. Compared with traditional pointwise mutual information (PMI), PMI-TFIDF showed better distinction ability. We also propose feature-oriented opinion determination based on feature-opinion pair extraction and feature-oriented opinion lexicon generation."
According to the news editors, the research concluded: "The results demonstrate the effectiveness of our proposed method and indicate that feature-oriented opinion lexicons are superior to general opinion lexicons for feature-oriented opinion determination."
For more information on this research see: Unsupervised product feature extraction for feature-oriented opinion determination. Information Sciences, 2014;272():16-28. Information Sciences can be contacted at: Elsevier Science Inc, 360 Park Ave South, New York, NY 10010-1710, USA. (Elsevier - www.elsevier.com; Information Sciences - www.elsevier.com/wps/product/cws_home/505730)
Our news journalists report that additional information may be obtained by contacting C.Q. Quan, University of Tokushima, Fac Engn, Tokushima 7708506, Japan.
Keywords for this news article include: Asia, Japan, Tokushima, Information Technology
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