『徳島大学 教育・研究者情報データベース (EDB)』---[学外] /
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登録内容 (EID=349336)

EID=349336EID:349336, Map:0, LastModified:2019年12月23日(月) 16:51:47, Operator:[三木 ちひろ], Avail:TRUE, Censor:0, Owner:[松本 和幸], Read:継承, Write:継承, Delete:継承.
種別 (必須): 学術論文 (審査論文) [継承]
言語 (必須): 英語 [継承]
招待 (推奨):
審査 (推奨): Peer Review [継承]
カテゴリ (推奨): 研究 [継承]
共著種別 (推奨): 単独著作 (徳島大学内の単一の研究グループ(研究室等)内の研究 (単著も含む)) [継承]
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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.情報光システムコース.情報工学講座])
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[継承]
2.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.情報光システムコース.情報工学講座])
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[継承]
3.北 研二 ([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.情報光システムコース.情報工学講座])
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[継承]
題名 (必須): (英) Emotion Recognition for Japanese Short Sentences Including Slangs Based on Bag of Concepts Feature Trained by Large Web Text  (日)    [継承]
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要約 (任意): (英) The growth of Internet communication sites such as weblogs and social networking sites brought younger people especially in teens and in their 20s to create new words and to use them very often. We prepared an emotion corpus by collecting weblog article texts including new words, analyzed the corpus statistically, and proposed a method to estimate emotions of the texts. Most slang words such as Youth Slang are too ambiguous in sense classification to be registered into the existing dictionaries such as thesaurus. To cope with these words, we created a large scale of Twitter corpus and calculated sense similarities between words. We proposed to convert unknown word to semantic class id so that we might be able to process the words that were not included in the learning data. For calculation similarities between words and converting the word into word cluster id, we used the word embedding algorithms such as word2vec, or GloVe. We defined this method as a method using Bag of Concepts as feature. As a result of the evaluation experiment using several classifiers, the proposed method was proved its robustness for unknown expressions.  (日)    [継承]
キーワード (推奨): 1. (英) Youth Slang (日) (読) [継承]
2. (英) Unknown Words (日) (読) [継承]
3. (英) Bag of Concepts (日) (読) [継承]
4. (英) Word Embedding (日) (読) [継承]
5. (英) Unsupervised Clustering (日) (読) [継承]
発行所 (推奨): (英) Mesford Publishers (日) (読) [継承]
誌名 (必須): (英) Current Analysis on Instrumentation and Control (日) (読)
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(必須): 2019 [継承]
(必須): 2 [継承]
(必須): 9 18 [継承]
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年月日 (必須): 西暦 2019年 2月 1日 (平成 31年 2月 1日) [継承]
URL (任意): https://mesford.ca/wp-content/uploads/2019/02/Emotion-Recognition-for-Japanese-Short-Sentences-Including-Slangs-Based-on...pdf [継承]
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NAID (任意): 120006623628 [継承]
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標準的な表示

和文冊子 ● Kazuyuki Matsumoto, Minoru Yoshida and Kenji Kita : Emotion Recognition for Japanese Short Sentences Including Slangs Based on Bag of Concepts Feature Trained by Large Web Text, Current Analysis on Instrumentation and Control, Vol.2019, No.2, 9-18, 2019.
欧文冊子 ● Kazuyuki Matsumoto, Minoru Yoshida and Kenji Kita : Emotion Recognition for Japanese Short Sentences Including Slangs Based on Bag of Concepts Feature Trained by Large Web Text, Current Analysis on Instrumentation and Control, Vol.2019, No.2, 9-18, 2019.

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