Abstract
This paper presents a multiple layer based convolutional neural network for sentiment analysis. Word embedding is present to learn the features and representations. This paper also presents a convolutional kernel representation for textual data. In order to evaluate the performance, this paper uses short-text corpus to evaluate. Experimental results show the feasibility of the approach.
Original language | English |
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Title of host publication | Natural Language Processing and Information Systems - 22nd International Conference on Applications of Natural Language to Information Systems, NLDB 2017, Proceedings |
Editors | Flavius Frasincar, Ashwin Ittoo, Elisabeth Metais, Le Minh Nguyen |
Publisher | Springer Verlag |
Pages | 287-291 |
Number of pages | 5 |
ISBN (Print) | 9783319595689 |
DOIs | |
Publication status | Published - 2017 |
Event | 22nd International Conference on Applications of Natural Language to Information Systems, NLDB 2017 - Liege, Belgium Duration: 21 Jun 2017 → 23 Jun 2017 |
Publication series
Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
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Volume | 10260 LNCS |
ISSN (Print) | 0302-9743 |
ISSN (Electronic) | 1611-3349 |
Conference
Conference | 22nd International Conference on Applications of Natural Language to Information Systems, NLDB 2017 |
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Country/Territory | Belgium |
City | Liege |
Period | 21/06/17 → 23/06/17 |
Keywords
- Classification
- Convolutional neural network
- Representation
- Sentiment analysis
- Word embedding
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Gao, S., Zhang, H., & Gao, K. (2017). A convolutional neural network based sentiment classification and the convolutional kernel representation. In F. Frasincar, A. Ittoo, E. Metais, & L. M. Nguyen (Eds.), Natural Language Processing and Information Systems - 22nd International Conference on Applications of Natural Language to Information Systems, NLDB 2017, Proceedings (pp. 287-291). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10260 LNCS). Springer Verlag. https://doi.org/10.1007/978-3-319-59569-6_36