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SENTIMENT CLASSIFICATION THROUGH COLLABORATIVE MULTI-INPUT AND MULTI-TASK LEARNING

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成果类型:
期刊论文、会议论文
作者:
Xiao, Zheng*;Song, Chao;Wang, Le;Du, Jiayi
通讯作者:
Xiao, Zheng
作者机构:
[Xiao, Zheng; Wang, Le; Song, Chao] Hunan Univ, Coll Comp Sci & Elect Engn, Changsha 410082, Hunan, Peoples R China.
[Du, Jiayi] Cent South Univ Forestry & Technol, Sch Comp & Informat Engn, Changsha 410004, Peoples R China.
通讯机构:
[Xiao, Zheng] H
Hunan Univ, Coll Comp Sci & Elect Engn, Changsha 410082, Hunan, Peoples R China.
语种:
英文
关键词:
Sentiment classification;multi-input;multi-task;collaborative learning
期刊:
JOURNAL OF NONLINEAR AND CONVEX ANALYSIS
ISSN:
1345-4773
年:
2020
卷:
21
期:
8
页码:
1851-1866
会议名称:
5th International Conference on Fuzzy Systems and Data Mining (FSDM) held in conjunction with the 9th International Conference on Electronics, Communications and Networks (CECNet)
会议时间:
OCT 18-21, 2019
会议地点:
Kitakyushu, JAPAN
会议主办单位:
[Xiao, Zheng;Song, Chao;Wang, Le] Hunan Univ, Coll Comp Sci & Elect Engn, Changsha 410082, Hunan, Peoples R China.^[Du, Jiayi] Cent South Univ Forestry & Technol, Sch Comp & Informat Engn, Changsha 410004, Peoples R China.
出版地:
101, 6-27 SATSUKIGAOKA AOBA-KU, YOKOHAMA, 227-0053, JAPAN
出版者:
YOKOHAMA PUBL
基金类别:
Hunan Provincial Natural Science FoundationNatural Science Foundation of Hunan Province [2019JJ40024]
机构署名:
本校为其他机构
院系归属:
计算机与信息工程学院
摘要:
Through sentiment analysis, the advantages and drawbacks of things are presented to potential people to help them make better decisions. Unlike English, Chinese words are not separated by space and generally need to be segmented artificially, which has a significant impact on sentence semantics. Word segmentation is affected by many factors, such as typos, network terms and abbreviations. Texts posted on the Internet often have the aforementioned characteristics, posing great challenges to word segmentation. In addition, the existing sentiment ...

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