| Item type |
学術雑誌論文 / Journal Article(1) |
| 公開日 |
2020-01-17 |
| タイトル |
|
|
タイトル |
Brute-Force Sentence Pattern Extortion from Harmful Messages for Cyberbullying Detection |
|
言語 |
en |
| 言語 |
|
|
言語 |
eng |
| キーワード |
|
|
言語 |
en |
|
主題Scheme |
Other |
|
主題 |
Automatic Cyberbullying Detection |
| キーワード |
|
|
言語 |
en |
|
主題Scheme |
Other |
|
主題 |
Natural Language Processing |
| キーワード |
|
|
言語 |
en |
|
主題Scheme |
Other |
|
主題 |
Language Combinatorics |
| 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 |
Ptaszynski, Michal
Lempa, Pawel
Masui, Fumito
Kimura, Yasutomo
Rzepka, Rafal
Araki, Kenji
Wroczynski, Michal
Leliwa, Gniewosz
|
| 抄録 |
|
|
内容記述タイプ |
Abstract |
|
内容記述 |
Cyberbullying, or humiliating people using the Internet, has existed almost since the beginning of Internet communication.The relatively recent introduction of smartphones and tablet computers has caused cyberbullying to evolve into a serious social problem. In Japan, members of a parent-teacher association (PTA)attempted to address the problem by scanning the Internet for cyber bullying entries. To help these PTA members and other interested parties confront this difficult task we propose a novel method for automatic detection of malicious Internet content. This method is based on a combinatorial approach resembling brute-force search algorithms, but applied in language classification. The method extracts sophisticated patterns from sentences and uses them in classification. The experiments performed on actual cyberbullying data reveal an advantage of our method vis-à-visprevious methods. Next, we implemented the method into an application for Android smartphones to automatically detect possible harmful content in messages. The method performed well in the Android environment, but still needs to be optimized for time efficiency in order to be used in practice |
|
言語 |
en |
| 書誌情報 |
en : Journal of the Association for Information Systems
巻 20,
号 8,
p. 1075-1127,
発行日 2019
|
| ISSN |
|
|
収録物識別子タイプ |
EISSN |
|
収録物識別子 |
1536-9323 |
| DOI |
|
|
|
識別子タイプ |
DOI |
|
|
関連識別子 |
https://doi.org/10.17705/1jais.00562 |
| 権利 |
|
|
権利情報 |
c 2019by the Association for Information Systems. Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit orcommercial advantage and that copies bear this notice and full citation on the first page. Copyright for components of this work owned by others than the Association for Information Systems must be honored. Abstracting with creditis permitted. To copy otherwise, to republish, to post on servers, or to redistribute to lists requires prior specific permission and/or fee. Request permission to publish from: AIS Administrative Office, P.O. Box 2712 Atlanta, GA, 30301-2712 Attn: Reprints or via email from publications@aisnet.org. |
| 出版者 |
|
|
出版者 |
Association for Information Systems |
| 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 |
Journal of the Association for Information Systems (2019) 20(8), 1075-1128 (2.2 MB)
