J
Jian-Wu Bi
Researcher at Nankai University
Publications - 23
Citations - 1262
Jian-Wu Bi is an academic researcher from Nankai University. The author has contributed to research in topics: Tourism & Computer science. The author has an hindex of 9, co-authored 16 publications receiving 693 citations. Previous affiliations of Jian-Wu Bi include Northeastern University (China).
Papers
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Ranking products through online reviews
Yang Liu,Jian-Wu Bi,Zhi-Ping Fan +2 more
TL;DR: A method based on the sentiment analysis technique and the intuitionistic fuzzy set theory to rank the products through online reviews and decision support system can be developed to support the consumers purchase decisions more conveniently.
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Multi-class sentiment classification
Yang Liu,Jian-Wu Bi,Zhi-Ping Fan +2 more
TL;DR: A framework for multi-class sentiment classification is proposed, and the results show that, in terms of classification accuracy, gain ratio performs best among the four feature selection algorithms and support vector machine performsbest among the five machine learning algorithms.
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Wisdom of crowds: Conducting importance-performance analysis (IPA) through online reviews
TL;DR: The results indicate that the proposed methodology can obtain effective analysis results with lower cost and shorter time since online reviews are publicly available and easily collected.
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A method for multi-class sentiment classification based on an improved one-vs-one (OVO) strategy and the support vector machine (SVM) algorithm
Yang Liu,Jian-Wu Bi,Zhi-Ping Fan +2 more
TL;DR: A framework for multi-class sentiment classification based on the improved OVO strategy and the SVM algorithm and the results show that the performance of the proposed method is significantly better than that of the existing methods.
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Modelling customer satisfaction from online reviews using ensemble neural network and effect-based Kano model
TL;DR: A method for modelling customer satisfaction from online reviews using an ensemble neural network based model (ENNM) and an effect-based Kano model (EKM) is proposed to measure the effects of customer sentiments toward different CSDs on customer satisfaction.