Sentiment Analysis of Chinese Version Using SVM & RNN-Reference-Cited by-同舟云学术

Sentiment Analysis of Chinese Version Using SVM & RNN

Published:2017 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 6th International Conference on Information Engineering - ICIE '17
language:
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Author:

Xu Hongyang¹,Lu Hui²,Yang Guowei³,Zhang Cong⁴

Affiliation:

1. QingDao University and Institute of Computing Technology, Chinese Academy of science, China

2. Institute of Computing Technology, Chinese Academy of science and Institute of Microelectronics, Chinese Academy of science, China

3. QingDao University, China

4. Institute of Computing Technology, Chinese Academy of science and Beijing University of Posts and Telecommunications, China

Publisher

ACM Press

Reference16 articles.

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2. Tang Hui-feng, Tan Song-bo, Cheng Xue-qi. Research on Sentiment Classification of Chinese Reviews Based on Supervised Machine Learning Techniques[J]. JOURNAL OF CHINESE INFORMATION PROCESSING, 2007, 21(6):88--94.

3. Zhu Yan-lan, Min Jin, Zhou Ya-qian, Huang Xuan-jing, Wu Lide. Semantic Orientation Computing Based on HowNet[J]. JOURNAL OF CHINESE INFORMATION PROCESSING, 2006, 20(1):14--20.

4. Liu Hongyu, Zhao Yanyan, Qin Bing, Liu Ting. Comment Target Extraction and Sentiment Classification[J]. JOURNAL OF CHINESE INFORMATION PROCESSING, 2010, 24(1):84--88.

5. Wang Suge, Li Deyu, Wei Yingjie, Song Xiaolei. A Synonyms Based Word Sentiment Orientation Discriminating[J]. JOURNAL OF CHINESE INFORMATION ROCESSING, 2009, 23(5):68--74.

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