| ○種別 (必須): | □ | 学術論文 (審査論文)
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| ○言語 (必須): | □ | 英語
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| ○審査 (推奨): | □ | Peer Review
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| ○カテゴリ (推奨): | □ | 研究
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| ○共著種別 (推奨): | □ | 学内共著 (徳島大学内研究者との共同研究 (学外研究者を含まない))
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| ○学究種別 (推奨): |
| ○組織 (推奨): |
| ○著者 (必須): | 1. | 松本 和幸 ([徳島大学.大学院社会産業理工学研究部.理工学域.知能情報系.情報工学分野]/[徳島大学.理工学部.理工学科.知能情報コース.情報工学講座])
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| 2. | 任 福継 (->個人[中川 福継])
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| 3. | (英) Matsuoka Masaya (日) 松岡 雅也 (読) まつおか まさや
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| ○学籍番号 (推奨): | □ | ****
| [ユーザ] |
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| 4. | 吉田 稔 ([徳島大学.大学院社会産業理工学研究部.理工学域.知能情報系.情報工学分野]/[徳島大学.理工学部.理工学科.知能情報コース.情報工学講座])
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| 5. | 北 研二
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| ○題名 (必須): | □ | (英) Slang Feature Extraction by Analyzing Topic Change on Social Media (日)
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| ○要約 (任意): | □ | (英) Recently, we often see words such as youth slang, neologism and Internet slang on social networking sites (SNSs) that are not registered on dictionaries. Because the documents posted to SNSs include a lot of fresh information, they are thought to be useful for collecting information. It is important to analyze these words (hereinafter referred to as slang) and capture their features for the improvement of the accuracy of automatic information collection. This paper aims to analyze what features can be observed in slang by focusing on the topic. We construct topic models from document groups including target slang on Twitter by Latent Dirichlet Allocation (LDA). With the models, we chronologically analyze change of topics during a certain period of time to find out the difference in the features between slang and general words. Then, we propose a slang classification method based on the change of features. (日)
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| ○キーワード (推奨): | 1. | (英) Slang (日) (読)
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| 2. | (英) Topic analysis (日) (読)
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| 3. | (英) Latent Dirichlet Allocation (日) (読)
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| 4. | (英) Social media, (日) (読)
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| 5. | (英) Tweet representation (日) (読)
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| ○発行所 (推奨): |
| ○誌名 (必須): | □ | CAAI Transactions on Intelligence Technology (IET)
(pISSN: 2468-6557, eISSN: 2468-2322)
| ○ISSN (任意): | □ | 2468-2322
ISSN: 2468-6557
(pISSN: 2468-6557, eISSN: 2468-2322) Title: CAAI Transactions on Intelligence TechnologyTitle(ISO): CAAI Trans Intell TechnolPublisher: John Wiley & Sons Inc. (NLM Catalog)
(Scopus)
(CrossRef)
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| ○巻 (必須): | □ |
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| ○頁 (必須): | □ |
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| ○都市 (任意): |
| ○年月日 (必須): | □ | 西暦 2019年 1月 18日 (平成 31年 1月 18日)
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| ○URL (任意): | □ | https://digital-library.theiet.org/content/journals/trit
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| ○DOI (任意): | □ | 10.1049/trit.2018.1060 (→Scopusで検索)
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