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  1. 学術雑誌掲載済論文
  2. 和雑誌

ID交換掲示板における書きこみの隠語表記揺れを考慮した有害性評価

https://kitami-it.repo.nii.ac.jp/records/8899
65a20e5b-1017-4197-a8fa-39c60e82927d
プレビュー
名前 / ファイル ライセンス Actions
情報システム学会誌, 情報システム学会誌, 2017-2018, 13(2),p.41-58 (2.0 MB)
item type 学術雑誌論文 / Journal Article(1)
公開日 2020-01-20
タイトル
タイトル ID交換掲示板における書きこみの隠語表記揺れを考慮した有害性評価
言語
言語 jpn
資源タイプ
資源 http://purl.org/coar/resource_type/c_6501
タイプ journal article
その他のタイトル
その他のタイトル (Method for Estimation of Harmfulness of ID-Exchange BBS Based on Lexical Jargonizations)
著者 安彦, 智史

× 安彦, 智史

WEKO 90418

安彦, 智史

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長谷川, 大

× 長谷川, 大

WEKO 90419

長谷川, 大

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プタシンスキ, ミハウ

× プタシンスキ, ミハウ

WEKO 90352
CiNii ID 9000006924461
KAKEN - 研究者検索 60711504

プタシンスキ, ミハウ

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中村, 健二

× 中村, 健二

WEKO 90420

中村, 健二

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佐久田, 博司

× 佐久田, 博司

WEKO 90421

佐久田, 博司

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Abiko, Satosh

× Abiko, Satosh

WEKO 90460

en Abiko, Satosh

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Hasegawa, Dai

× Hasegawa, Dai

WEKO 90423

en Hasegawa, Dai

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PTASZYNSKI, Michal

× PTASZYNSKI, Michal

WEKO 11612

en PTASZYNSKI, Michal

Search repository
Nakamura, Kenji

× Nakamura, Kenji

WEKO 90425

en Nakamura, Kenji

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Sakuta, Hiroshi

× Sakuta, Hiroshi

WEKO 90426

en Sakuta, Hiroshi

Search repository
抄録
内容記述タイプ Abstract
内容記述 プライベートチャットアプリケーションのID 交換を目的とした掲示板 (ID 交換掲示板 において違法・有害な情報を含む書き込みが増加傾向にある. ID 交換掲示板では,多様な隠語表現を用いたやり取りが行われており意図的に崩された日本語が多く含まれるため,従来の手法では有害性評価を行うことが困難である.そこで本研究では,ID交換掲示板における隠語表現を分類し,特に表層的な表記揺れが生じる環境下でも有害性判定を行える手法を検討する.
抄録
内容記述タイプ Abstract
内容記述 [ENG]
Recently generic forum boards, such as Bulletin Board Systems (BBS) have experienced an increase of illegal and harmful activities, especially on BBS, which purpose is to exchange user contact IDs for further private chat applications (so called “ ID exchange BBS”). On such BBS, lexical transcription is often jargonized, or modified intentionally, making it difficult to extract information using standard tools. In this study, we first study the typology of harmful jargonized expressions on ID exchan ge BBS. Based on this typology we propose a method dealing with the intentional transcription modifications on ID exchange BBS in a robust way. In the evaluation, we developed a system applying the proposed method and verified the performance in estimating harmfulness of BBS entries. We also further improved the system by applying an automatic sentence pattern extraction method to separate harmful from non harmful entries. The experiment confirmed that it was possible to eliminate most of the erroneous tran scription modifications with the proposed method.
書誌情報 情報システム学会誌
en : Journal of Information Systms Society of Japan

巻 13, 号 2, p. 41-58, 発行日 2018
DOI
関連識別子
識別子タイプ DOI
関連識別子 https://doi.org/10.19014/jissj.13.2_41
著者版フラグ
値 publisher
論文ID(NAID)
関連識別子
識別子タイプ NAID
関連識別子 130007659671
出版者
出版者 一般社団法人 情報システム学会
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