Knowledge Science, Engineering and Management
10th International Conference, KSEM 2017, Melbourne, VIC, Australia, August 19-20, 2017, Proceedings
Editors: Li, G., Ge, Y., Zhang, Z., Jin, Z., Blumenstein, M. (Eds.)
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- About this book
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This book constitutes the refereed proceedings of the 10th International Conference on Knowledge Science, Engineering and Management, KSEM 2017, held in Melbourne, Australia, in August 2017.
The 35 revised full papers and 12 short papers presented were carefully reviewed and selected from 134 submissions. The papers are organized in the following topical sections: text mining and document analysis; formal semantics and fuzzy logic; knowledge management; knowledge integration; knowledge retrieval; recommendation algorithms and systems; knowledge engineering; and knowledge representation and reasoning.
- Table of contents (47 chapters)
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Learning Sparse Overcomplete Word Vectors Without Intermediate Dense Representations
Pages 3-15
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A Study of Distributed Semantic Representations for Automated Essay Scoring
Pages 16-28
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Weakly Supervised Feature Compression Based Topic Model for Sentiment Classification
Pages 29-41
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An Effective Gated and Attention-Based Neural Network Model for Fine-Grained Financial Target-Dependent Sentiment Analysis
Pages 42-54
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A Hidden Astroturfing Detection Approach Base on Emotion Analysis
Pages 55-66
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Table of contents (47 chapters)
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Bibliographic Information
- Bibliographic Information
-
- Book Title
- Knowledge Science, Engineering and Management
- Book Subtitle
- 10th International Conference, KSEM 2017, Melbourne, VIC, Australia, August 19-20, 2017, Proceedings
- Editors
-
- Gang Li
- Yong Ge
- Zili Zhang
- Zhi Jin
- Michael Blumenstein
- Series Title
- Lecture Notes in Artificial Intelligence
- Series Volume
- 10412
- Copyright
- 2017
- Publisher
- Springer International Publishing
- Copyright Holder
- Springer International Publishing AG
- eBook ISBN
- 978-3-319-63558-3
- DOI
- 10.1007/978-3-319-63558-3
- Softcover ISBN
- 978-3-319-63557-6
- Edition Number
- 1
- Number of Pages
- XVII, 563
- Number of Illustrations
- 150 b/w illustrations
- Topics
