Research on Textual Emotion Recognition based on Deep Learning Methods

• Material Type: 博士論文
• Title: Research on Textual Emotion Recognition based on Deep Learning Methods
• Author/Editor: 邓, 佳文
• Author Heading: 邓, 佳文
• Publication Date: 2021-03-23
• Publication Date (W3CDTF): 2021-03-23
• Alternative Title: 深層学習に基づくテキスト感情分析に関する研究
• Degree Grantor: 徳島大学
• Date Granted: 2021-03-23
• Date Granted (W3CDTF): 2021-03-23
• Dissertation Number: 甲先第400号
• Degree Type: 博士（工学）
• Conferring No. (Dissertation): 甲第3520号
• Text Language Code: eng
• Subject Heading: Textual Emotion Recognition; Deep learning; Emotion Correlation; Data Imbalance; Contextual Learning
• Target Audience: 一般
• Note (General): 出版タイプ： NA
• Persistent ID (NDL): info:ndljp/pid/11679606; https://dl.ndl.go.jp/pid/11679606
• Collection: 障害者向け資料
• Collection (Materials For Handicapped People:1): テキストデータ
• Collection (particular): 国立国会図書館デジタルコレクション > デジタル化資料 > 博士論文; https://dl.ndl.go.jp/collections/A00014
• Acquisition Basis: 博士論文（自動収集）
• Date Accepted (W3CDTF): 2021-06-07T02:06:26+09:00
• Format (IMT): application/pdf
• Access Restrictions: 国立国会図書館内限定公開
• Service for the Digitized Contents Transmission Service: 図書館・個人送信対象外
• Availability of remote photoduplication service: 可
• Periodical Title (URI): https://tokushima-u.repo.nii.ac.jp/records/2008940
• Data Provider (Database): 国立国会図書館 : 国立国会図書館デジタルコレクション; https://dl.ndl.go.jp

• Summary, etc.: Textual emotion recognition (TER) is the process of automatically identifying emotional states in textual expressions. It is a more in-depth analysis ...