Twitter noun-verb relation thesaurus tree

被引：0
|
作者：
Urabe, Naoki [1 ]
Rokui, Jun [1 ]
机构：
[1] Shimane Univ, Grad Sch Nat Sci & Technol, Matsue, Shimane 6908504, Japan
来源：
2018 7TH INTERNATIONAL CONGRESS ON ADVANCED APPLIED INFORMATICS (IIAI-AAI 2018) | 2018年
关键词：
D O I：
10.1109/IIAI-AAI.2018.00130
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
The thesaurus is a representation of words and concepts in tree structure [1]. Methods for automatically constructing a thesaurus are being actively studied. Thesauri constructed using conventional methods cannot deal with changes in word usage. Therefore, in this research, we build a thesaurus applying the C4.5 algorithm for Twitter data. The word use varies depending on when the Tweet data was generated. Therefore, we can capture the changes in how words are used. By applying the C4.5 algorithm to Twitter data, it is possible to efficiently derive the relationship of words. We verified the effectiveness of the Twitter thesaurus.
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页码：622 / 625
页数：4
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