Improved Convolutional Neural Network for Chinese Sentiment Analysis in Fog Computing
Joint Authors
Gao, Hui
Chen, Haoping
Du, Lukun
Lu, Yueming
Source
Wireless Communications and Mobile Computing
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-6, 6 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-09-23
Country of Publication
Egypt
No. of Pages
6
Main Subjects
Information Technology and Computer Science
Abstract EN
Fog computing extends the concept of cloud computing to the edge of network to relieve performance bottleneck and minimize data analytics latency at the central server of a cloud.
It uses edge nodes directly to perform data input and data analysis.
In public opinion analysis system, edge nodes that collect opinions from users are responsible for some data filtering jobs including sentiment analysis.
Therefore, it is crucial to find suitable algorithm that is lightweight in operation and accurate in predictive performance.
In this paper, we focus on Chinese sentiment analysis job in fog computing environment and propose a non-task-specific method called Channel Transformation Based Convolutional Neural Network (CTBCNN) for Chinese sentiment classification, which uses a new structure called channel transformation based (CTB) convolutional layer to enhance the ability of automatic feature extraction and applies global average pooling layer to prevent overfitting.
Through experiments and analysis, we show that our method do achieve competitive accuracy and it is convenient to apply this method to different cases in operation.
American Psychological Association (APA)
Chen, Haoping& Du, Lukun& Lu, Yueming& Gao, Hui. 2018. Improved Convolutional Neural Network for Chinese Sentiment Analysis in Fog Computing. Wireless Communications and Mobile Computing،Vol. 2018, no. 2018, pp.1-6.
https://search.emarefa.net/detail/BIM-1216389
Modern Language Association (MLA)
Chen, Haoping…[et al.]. Improved Convolutional Neural Network for Chinese Sentiment Analysis in Fog Computing. Wireless Communications and Mobile Computing No. 2018 (2018), pp.1-6.
https://search.emarefa.net/detail/BIM-1216389
American Medical Association (AMA)
Chen, Haoping& Du, Lukun& Lu, Yueming& Gao, Hui. Improved Convolutional Neural Network for Chinese Sentiment Analysis in Fog Computing. Wireless Communications and Mobile Computing. 2018. Vol. 2018, no. 2018, pp.1-6.
https://search.emarefa.net/detail/BIM-1216389
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1216389