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The Application Research of AlphaGo Double Decision System in Network Bad Information Recognition

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成果类型:
期刊论文、会议论文
作者:
Chen, Hui*;Zheng, Zeyu;Chen, Qiurui;Yang, Lanjiang;Chen, Xingnan;...
通讯作者:
Chen, Hui
作者机构:
[Chen, Qiurui; Chen, Hui; Chen, Xingnan; Yang, Lanjiang; Zheng, Shijue] Cent China Normal Univ, Coll Comp Sci, Wuhan 430079, Hubei, Peoples R China.
[Zheng, Zeyu] Texas Dept State Hlth Serv, Austin, TX USA.
通讯机构:
[Chen, Hui] C
Cent China Normal Univ, Coll Comp Sci, Wuhan 430079, Hubei, Peoples R China.
语种:
英文
关键词:
Carrier communication;Data mining;Intelligent computing;Text processing;AlphaGo;Bad information;Falling selector;Text classification;Value network;Classification (of information)
期刊:
Lecture Notes in Computer Science
ISSN:
0302-9743
年:
2018
卷:
10956 LNAI
页码:
284-295
会议论文集名称:
Lecture Notes in Artificial Intelligence
会议地点:
Wuhan, PEOPLES R CHINA
会议主办单位:
[Chen, Hui;Chen, Qiurui;Yang, Lanjiang;Chen, Xingnan;Zheng, Shijue] Cent China Normal Univ, Coll Comp Sci, Wuhan 430079, Hubei, Peoples R China.^[Zheng, Zeyu] Texas Dept State Hlth Serv, Austin, TX USA.
会议赞助商:
IEEE Computat Intelligence Soc, Int Neural Network Soc, Natl Sci Fdn China, Tongji Univ, Wuhan Univ Sci, & Technol, Wuhan Inst Technol
主编:
Huang, DS Gromiha, MM Han, K Hussain, A
出版地:
GEWERBESTRASSE 11, CHAM, CH-6330, SWITZERLAND
出版者:
Springer Verlag
ISBN:
9783319959566
基金类别:
Acknowledgments. This work was supported by the key projects China Language committee Research Project NO. ZDI135-13.
机构署名:
本校为第一且通讯机构
院系归属:
计算机学院
摘要:
As the carrier of information transmission, the internet inevitably contains much bad information. In view of this phenomenon, with the purpose of identifying the bad information in the network, we combine existing Chinese text mining technology for experimental research. In combination with the idea of AlphaGo double decision system, the experiment will deal with the text information identification and classification using two system models, so that more accurate results can be obtained. In the experiment, a system does text segmentation and feature selection. Another system uses this method ...

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