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FromWords to Emoticons: Deep Emotion Recognition in Text and Its Wider Implications
https://kitami-it.repo.nii.ac.jp/records/8883
https://kitami-it.repo.nii.ac.jp/records/88836b53bf57-4bad-4e79-a62b-95c88fc6a54b
| 名前 / ファイル | ライセンス | アクション |
|---|---|---|
International Journal of Computational Linguistics Research_9(1)_10-26 (199.0 kB)
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| Item type | 学術雑誌論文 / Journal Article(1) | |||||
|---|---|---|---|---|---|---|
| 公開日 | 2020-01-16 | |||||
| タイトル | ||||||
| タイトル | FromWords to Emoticons: Deep Emotion Recognition in Text and Its Wider Implications | |||||
| 言語 | en | |||||
| 言語 | ||||||
| 言語 | eng | |||||
| キーワード | ||||||
| 言語 | en | |||||
| 主題Scheme | Other | |||||
| 主題 | Emotion Recognition | |||||
| キーワード | ||||||
| 言語 | en | |||||
| 主題Scheme | Other | |||||
| 主題 | Affective Computing | |||||
| キーワード | ||||||
| 言語 | en | |||||
| 主題Scheme | Other | |||||
| 主題 | Lexical Approach | |||||
| キーワード | ||||||
| 言語 | en | |||||
| 主題Scheme | Other | |||||
| 主題 | Emoticons | |||||
| 資源タイプ | ||||||
| 資源タイプ識別子 | http://purl.org/coar/resource_type/c_6501 | |||||
| 資源タイプ | 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 |
Rafal, Rzepka
× Rafal, Rzepka× Takizawa, Mitsuru× Vallverdu, Jordi× PTASZYNSKI, Michal× Dybala, Pawel× Araki, Kenji |
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| 著者別名 | ||||||
| 識別子Scheme | WEKO | |||||
| 識別子 | 90352 | |||||
| 識別子Scheme | CiNii ID | |||||
| 識別子URI | http://ci.nii.ac.jp/nrid/9000006924461 | |||||
| 識別子 | 9000006924461 | |||||
| 識別子Scheme | KAKEN - 研究者検索 | |||||
| 識別子URI | https://nrid.nii.ac.jp/ja/nrid/1000060711504/ | |||||
| 識別子 | 60711504 | |||||
| 姓名 | プタシンスキ, ミハウ | |||||
| 言語 | ja | |||||
| 抄録 | ||||||
| 内容記述タイプ | Abstract | |||||
| 内容記述 | This paper summarizes several lexical methods for more comprehensive affect recognition in text using an example of typed utterances. We introduce a set of algorithms that are capable of recognizing emotions of user’s statements in order to achieve more effective and smoother human-machine conversation. Aspects often neglected by existing systems working with Japanese language, e.g. compound sentences, double negation sentences, modifiers as adverbs and emoticons were combined and their higher effectiveness in recognizing affect in more complicated sentences was confirmed through evaluation experiments. The results are introduced together with separate analysis of emoticons’ influence on emotional load. We also discuss importance of predicting human emotions not only in the field of human-computer interaction but also its meaning for developing ethical chatbots. | |||||
| 言語 | en | |||||
| 書誌情報 |
en : International Journal of Computational Linguistics Research 巻 9, 号 1, p. 10-26, 発行日 2018-03 |
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| ISSN | ||||||
| 収録物識別子タイプ | EISSN | |||||
| 収録物識別子 | 0976-416X | |||||
| 出版者 | ||||||
| 出版者 | DLINE | |||||
| 著者版フラグ | ||||||
| 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 | |||||
