Research on Clustering and Classification for the Green Edition of Southern Weekend - Volume 13 Number 9 (Sep. 2018) - JCOMPUTERS
Volume 13 Number 9 (Sep. 2018)
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JCP 2018 Vol.13(9): 1027-1036 ISSN: 1796-203X
doi: 10.17706/jcp.13.9.1027-1036

Research on Clustering and Classification for the Green Edition of Southern Weekend

Sheqi Zhang, Xiangmei Dou
Beijing National Day School, Beijing, China.
Abstract—The corpus consists of 2099 reports of the Green Edition of Southern Weekend from October 8, 2009 to September 30, 2016. Word frequency and term frequency–inverse document frequency (TFIDF) are counted and sorted. Word clouds of each year are given according to words of high TFIDF. Key words and word scopes of each year are different from the word clouds. The feature words are generated scientifically and automatically. All reports are clustered into one category automatically using hierarchical clustering algorithm. We can find the clustering results intuitively and visually from the hierarchical clustering. The clustering results provide scientific and effective bases for automatic classifications of a large scale of short reports. 2099 reports are classified into 20 categories automatically and the classification is very reasonable.

Index Terms—Green edition of southern weekend, word cloud, hierarchical clustering, scree plot, automatic classification.

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Cite: Sheqi Zhang, Xiangmei Dou, "Research on Clustering and Classification for the Green Edition of Southern Weekend," Journal of Computers vol. 13, no. 9, pp. 1027-1036, 2018.

General Information

ISSN: 1796-203X
Frequency: Monthly (2006-2014); Bimonthly (Since 2015)
Editor-in-Chief: Prof. Liansheng Tan
Executive Editor: Ms. Nina Lee
Abstracting/ Indexing: DBLP, EBSCO,  ProQuest, INSPEC, ULRICH's Periodicals Directory, WorldCat, CNKI,etc
E-mail: jcp@iap.org
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