Construction of a Multilingual Annotated Corpus for Deep Sentiment Understanding in Social Media

• Item type: SIG Technical Reports(1)
• 公開日: 2015-07-08
• タイトル: Construction of a Multilingual Annotated Corpus for Deep Sentiment Understanding in Social Media
• タイトル / 言語: en
• タイトル: Construction of a Multilingual Annotated Corpus for Deep Sentiment Understanding in Social Media
• 言語: eng
• キーワード / 主題Scheme: Other
• キーワード / 主題: 機械翻訳・多言語処理
• 資源タイプ / 資源タイプ識別子: http://purl.org/coar/resource_type/c_18gh
• 資源タイプ: technical report
• 著者所属: Graduate School of Environment and Information Science, Yokohama National University
• 著者所属: Graduate School of Environment and Information Science, Yokohama National University
• 著者所属: Graduate School of Environment and Information Science, Yokohama National University
• 著者所属: Graduate School of Environment and Information Science, Yokohama National University
• 著者所属(英): en
• 著者所属(英): Graduate School of Environment and Information Science, Yokohama National University
• 著者所属(英): en
• 著者所属(英): Graduate School of Environment and Information Science, Yokohama National University
• 著者所属(英): en
• 著者所属(英): Graduate School of Environment and Information Science, Yokohama National University
• 著者所属(英): en
• 著者所属(英): Graduate School of Environment and Information Science, Yokohama National University
• 著者名: Yujie, Lu; Kotaro, Sakamoto; Hideyuki, Shibuki; Tatsunori, Mori
• 著者名(英): Yujie, Lu; Kotaro, Sakamoto; Hideyuki, Shibuki; Tatsunori, Mori
• 論文抄録 / 内容記述タイプ: Other
• 論文抄録 / 内容記述: The surge of social media makes it possible to understand people's emotion in different cultures. In this paper, we construct an annotated corpus for multilingual sentiment understanding. The annotation is developed in a multilingual setting including English/Japanese/Chinese, and on a representative dataset including 4 topics (spanning 3 genres, which are product, people, and event). To deep understand expression mechanism of feeling entailed in the text, we labelled sentimental signal words and rhetoric phenomenon in addition to overall polarity. This innovative corpus can be a helpful resource for the improvement of sentiment classification, cross-cultural comparison etc.
• 論文抄録(英) / 内容記述タイプ: Other
• 論文抄録(英) / 内容記述: The surge of social media makes it possible to understand people's emotion in different cultures. In this paper, we construct an annotated corpus for multilingual sentiment understanding. The annotation is developed in a multilingual setting including English/Japanese/Chinese, and on a representative dataset including 4 topics (spanning 3 genres, which are product, people, and event). To deep understand expression mechanism of feeling entailed in the text, we labelled sentimental signal words and rhetoric phenomenon in addition to overall polarity. This innovative corpus can be a helpful resource for the improvement of sentiment classification, cross-cultural comparison etc.
• 書誌レコードID / 収録物識別子タイプ: NCID
• 書誌レコードID / 収録物識別子: AN10115061
• 書誌情報: 研究報告自然言語処理（NL）; 巻 2015-NL-222, 号 1, p. 1-12, 発行日 2015-07-08
• ISSN / 収録物識別子タイプ: ISSN
• ISSN / 収録物識別子: 2188-8779
• Notice: SIG Technical Reports are nonrefereed and hence may later appear in any journals, conferences, symposia, etc.
• 出版者 / 言語: ja
• 出版者: 情報処理学会