S
Songbo Tan
Researcher at Chinese Academy of Sciences
Publications - 42
Citations - 2515
Songbo Tan is an academic researcher from Chinese Academy of Sciences. The author has contributed to research in topics: Sentiment analysis & Centroid. The author has an hindex of 15, co-authored 42 publications receiving 2312 citations.
Papers
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Journal ArticleDOI
A survey on sentiment detection of reviews
TL;DR: This survey discusses related issues and main approaches to these problems, namely, subjectivity classification, word sentiment classification, document sentiment classification and opinion extraction.
Journal ArticleDOI
An empirical study of sentiment analysis for chinese documents
Songbo Tan,Jin Zhang +1 more
TL;DR: The experimental results indicate that IG performs the best for sentimental terms selection and SVM exhibits the best performance for sentiment classification, and it is found that sentiment classifiers are severely dependent on domains or topics.
Journal ArticleDOI
Neighbor-weighted K-nearest neighbor for unbalanced text corpus
TL;DR: The neighbor-weighted K-nearest neighbor algorithm, i.e. NWKNN, is proposed, which achieves significant classification performance improvement on imbalanced corpora.
Journal ArticleDOI
An effective refinement strategy for KNN text classifier
TL;DR: This paper proposes a new refinement strategy, which is called as DragPushing, for the K-Nearest Neighbors Classifier, and shows that DragP pushing achieved a significant improvement on the performance of the KNN Classifier.
Book ChapterDOI
Adapting Naive Bayes to Domain Adaptation for Sentiment Analysis
TL;DR: The experimental results indicate that proposed approach could improve the performance of base classifier dramatically, and even provide much better performance than the transfer-learning baseline, i.e. the Naive Bayes Transfer Classifier (NTBC).