| Item type |
学術雑誌論文 / Journal Article(1) |
| 公開日 |
2017-11-10 |
| タイトル |
|
|
タイトル |
Statistical Analysis of Automatic Seed Word Acquisition to Improve Harmful Expression Extraction in Cyberbullying Detection |
|
言語 |
en |
| 言語 |
|
|
言語 |
eng |
| キーワード |
|
|
主題Scheme |
Other |
|
主題 |
cyberbullying |
| キーワード |
|
|
主題Scheme |
Other |
|
主題 |
information extraction |
| キーワード |
|
|
主題Scheme |
Other |
|
主題 |
text mining |
| キーワード |
|
|
主題Scheme |
Other |
|
主題 |
seed word |
| キーワード |
|
|
主題Scheme |
Other |
|
主題 |
SO-PMI-IR |
| 資源タイプ |
|
|
資源 |
http://purl.org/coar/resource_type/c_6501 |
|
タイプ |
journal article |
| アクセス権 |
|
|
アクセス権 |
open access |
|
アクセス権URI |
http://purl.org/coar/access_right/c_abf2 |
| 著者 |
Suzuha, Hatakeyama
Fumito, Masui
Ptaszynski, Michal
Kazuhide, Yamamoto
|
| 抄録 |
|
|
内容記述タイプ |
Abstract |
|
内容記述 |
We study the social problem of cyberbullying, defined as a new form of bullying that takes place in the Internet space. This paper proposes a method for automatic acquisition of seed words to improve performance of the original method for the cyberbullying detection by Nitta et al. [1]. We conduct an experiment exactly in the same settings to find out that the method based on a Web mining technique, lost over 30% points of its performance since being proposed in 2013. Thus, we hypothesize on the reasons for the decrease in the performance and propose a number of improvements, from which we experimentally choose the best one. Furthermore, we collect several seed word sets using different approaches, evaluate and their precision. We found out that the influential factor in extraction of harmful expressions is not the number of seed words, but the way the seed words were collected and filtered. |
| 書誌情報 |
International Journal of Engineering and Technology Innovation
巻 6,
号 2,
p. 165-172,
発行日 2016-06
|
| 著者版フラグ |
|
|
言語 |
en |
|
値 |
publisher |
| 出版タイプ |
|
|
出版タイプ |
VoR |
|
出版タイプResource |
http://purl.org/coar/version/c_970fb48d4fbd8a85 |
V6-no2-165-172-final.pdf (967.0 kB)
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