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.
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Acknowledgments
This work is sponsored by National Basic Research Program of China (973 Program, Grant No.: 2013CB329606). This work is also sponsored by National Science Foundation of Hebei Province (No. F2017208012).
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Gao, S., Zhang, H., Gao, K. (2017). A Convolutional Neural Network Based Sentiment Classification and the Convolutional Kernel Representation. In: Frasincar, F., Ittoo, A., Nguyen, L., Métais, E. (eds) Natural Language Processing and Information Systems. NLDB 2017. Lecture Notes in Computer Science(), vol 10260. Springer, Cham. https://doi.org/10.1007/978-3-319-59569-6_36
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DOI: https://doi.org/10.1007/978-3-319-59569-6_36
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