K
Kaiquan Xu
Researcher at Nanjing University
Publications - 35
Citations - 1742
Kaiquan Xu is an academic researcher from Nanjing University. The author has contributed to research in topics: Sentiment analysis & Active learning (machine learning). The author has an hindex of 17, co-authored 34 publications receiving 1476 citations. Previous affiliations of Kaiquan Xu include Beijing Institute of Technology & City University of Hong Kong.
Papers
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Sentiment classification: The contribution of ensemble learning
TL;DR: A comparative assessment of the performance of three popular ensemble methods based on five base learners based onFive base learners for sentiment classification reveals that Random Subspace has the better comparative results, although it was seldom discussed in the literature.
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Mining comparative opinions from customer reviews for Competitive Intelligence
TL;DR: A novel graphical model is proposed to extract and visualize comparative relations between products from customer reviews, with the interdependencies among relations taken into consideration, to help enterprises discover potential risks and further design new products and marketing strategies.
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Two credit scoring models based on dual strategy ensemble trees
TL;DR: RS-Bagging DT and Bagging-RS DT can be used as alternative techniques for credit scoring and get the better results than five single classifiers and four popular ensemble classifiers.
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Text mining and probabilistic language modeling for online review spam detection
TL;DR: The work discussed in this article represents the first successful attempt to apply text mining methods and semantic language models to the detection of fake consumer reviews.
Posted Content
Battle of the Channels: The Impact of Tablets on Digital Commerce
TL;DR: The results show that users’ adoption of tablets enhanced the overall growth of Alibaba’s e-commerce market, with an annual increase of approximately US$923.5 million.