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ENSEMBLE OF MULTIPLE kNN CLASSIFIERS FOR SOCIETAL RISK CLASSIFICATION

文献类型：期刊论文

作者Chen, Jindong1,2; Tang, Xijin1; Xijin Tang
刊名JOURNAL OF SYSTEMS SCIENCE AND SYSTEMS ENGINEERING
出版日期2017-08-01
卷号26期号:4页码:433-447
关键词Societal risk classification Tianya Forum k-Nearest Neighbor ensemble Paragraph Vector
ISSN号1004-3756
DOI10.1007/s11518-017-5346-4
英文摘要Societal risk classification is a fundamental and complex issue for societal risk perception. To conduct societal risk classification, Tianya Forum posts are selected as the data source, and four kinds of representations: string representation, term-frequency representation, TF-IDF representation and the distributed representation of BBS posts are applied. Using edit distance or cosine similarity as distance metric, four k-Nearest Neighbor (kNN) classifiers based on different representations are developed and compared. Owing to the priority of word order and semantic extraction of the neural network model Paragraph Vector, kNN based on the distributed representation generated by Paragraph Vector (kNN-PV) shows effectiveness for societal risk classification. Furthermore, to improve the performance of societal risk classification, through different weights, kNN-PV is combined with other three kNN classifiers as an ensemble model. Through brute force grid search method, the optimal weights are assigned to different kNN classifiers. Compared with kNN-PV, the experimental results reveal that Macro-F of the ensemble method is significantly improved for societal risk classification.
资助项目National Key Research and Development Program of China[2016YFB1000902] ; National Natural Science Foundation of China[61473284] ; National Natural Science Foundation of China[71601023] ; National Natural Science Foundation of China[71371107]
WOS研究方向Operations Research & Management Science
语种英语
WOS记录号WOS:000406766700003
出版者SPRINGER HEIDELBERG
源URL[http://ir.amss.ac.cn/handle/2S8OKBNM/26345]  
专题系统科学研究所
通讯作者Chen, Jindong
作者单位1.Chinese Acad Sci, Acad Math & Syst Sci, Beijing 100190, Peoples R China
2.China Aerosp Acad Syst Sci & Engn, Beijing 100048, Peoples R China
推荐引用方式
GB/T 7714		 Chen, Jindong,Tang, Xijin,Xijin Tang. ENSEMBLE OF MULTIPLE kNN CLASSIFIERS FOR SOCIETAL RISK CLASSIFICATION[J]. JOURNAL OF SYSTEMS SCIENCE AND SYSTEMS ENGINEERING,2017,26(4):433-447.
APA Chen, Jindong,Tang, Xijin,&Xijin Tang.(2017).ENSEMBLE OF MULTIPLE kNN CLASSIFIERS FOR SOCIETAL RISK CLASSIFICATION.JOURNAL OF SYSTEMS SCIENCE AND SYSTEMS ENGINEERING,26(4),433-447.
MLA Chen, Jindong,et al."ENSEMBLE OF MULTIPLE kNN CLASSIFIERS FOR SOCIETAL RISK CLASSIFICATION".JOURNAL OF SYSTEMS SCIENCE AND SYSTEMS ENGINEERING 26.4(2017):433-447.

入库方式： OAI收割

来源：数学与系统科学研究院

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