{"created":"2021-03-01T06:21:31.856206+00:00","id":4851,"links":{},"metadata":{"_buckets":{"deposit":"b09dc4a8-5a1f-4470-bb6f-870288781486"},"_deposit":{"id":"4851","owners":[],"pid":{"revision_id":0,"type":"depid","value":"4851"},"status":"published"},"_oai":{"id":"oai:repository.dl.itc.u-tokyo.ac.jp:00004851","sets":["34:105:262","9:233:234"]},"item_7_alternative_title_1":{"attribute_name":"その他のタイトル","attribute_value_mlt":[{"subitem_alternative_title":"Analyzing Statement Relations between Tweets from Users'Communications"}]},"item_7_biblio_info_7":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicIssueDates":{"bibliographicIssueDate":"2013-03-25","bibliographicIssueDateType":"Issued"},"bibliographic_titles":[{}]}]},"item_7_date_granted_25":{"attribute_name":"学位授与年月日","attribute_value_mlt":[{"subitem_dategranted":"2013-03-25"}]},"item_7_degree_name_20":{"attribute_name":"学位名","attribute_value_mlt":[{"subitem_degreename":"修士(情報理工学)"}]},"item_7_description_5":{"attribute_name":"抄録","attribute_value_mlt":[{"subitem_description":"東日本大震災では安否確認や被災者支援のためにTwitter が活躍したが，一方で多種多様な情報が流通し，混乱を招いた．我々は，情報の信憑性や重要性を評価するには，ツイート空間の論述的な構造を解析・可視化し，情報の「裏」を取ることが大切だと考えている．本稿では，ツイートの返信および非公式RT（以下，返信・引用と略す）に着目し，ツイート間の論述的な関係を認識する手法を提案する．具体的には，返信・引用ツイートによって，投稿者の「同意」「反論」「疑問」などの態度が表明されると考え，これらの態度を推定する分類器を教師有り学習で構築する．評価実験では，返信・引用ツイートで表明される態度の推定性能を報告する．さらに，本手法が直接的に返信・引用関係のないツイート間の論述的な関係の推定にも応用できることを示し，ツイート間の含意関係認識に基づくアプローチとの比較を行う．","subitem_description_type":"Abstract"}]},"item_7_full_name_3":{"attribute_name":"著者別名","attribute_value_mlt":[{"nameIdentifiers":[{"nameIdentifier":"10542","nameIdentifierScheme":"WEKO"}],"names":[{"name":"Owada, Yusuke"}]}]},"item_7_select_21":{"attribute_name":"学位","attribute_value_mlt":[{"subitem_select_item":"master"}]},"item_7_text_24":{"attribute_name":"研究科・専攻","attribute_value_mlt":[{"subitem_text_value":"情報理工学系研究科・電子情報学専攻"}]},"item_7_text_4":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"東京大学大学院情報理工学系研究科電子情報学専攻"},{"subitem_text_value":"Department of Information and Communication Engineering, Graduate School of Information Science and Technology, The University of Tokyo"}]},"item_creator":{"attribute_name":"著者","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"大和田, 裕亮"}],"nameIdentifiers":[{"nameIdentifier":"10541","nameIdentifierScheme":"WEKO"}]}]},"item_files":{"attribute_name":"ファイル情報","attribute_type":"file","attribute_value_mlt":[{"accessrole":"open_date","date":[{"dateType":"Available","dateValue":"2017-06-01"}],"displaytype":"detail","filename":"48116411.pdf","filesize":[{"value":"1.5 MB"}],"format":"application/pdf","licensetype":"license_note","mimetype":"application/pdf","url":{"label":"48116411.pdf","url":"https://repository.dl.itc.u-tokyo.ac.jp/record/4851/files/48116411.pdf"},"version_id":"0e23d1e1-535c-434f-8433-279dacd0da81"}]},"item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"jpn"}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourcetype":"thesis","resourceuri":"http://purl.org/coar/resource_type/c_46ec"}]},"item_title":"返信態度の分類に基づくツイート間論述関係の分析","item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"返信態度の分類に基づくツイート間論述関係の分析"}]},"item_type_id":"7","owner":"1","path":["234","262"],"pubdate":{"attribute_name":"公開日","attribute_value":"2013-05-07"},"publish_date":"2013-05-07","publish_status":"0","recid":"4851","relation_version_is_last":true,"title":["返信態度の分類に基づくツイート間論述関係の分析"],"weko_creator_id":"1","weko_shared_id":null},"updated":"2022-12-19T03:46:31.278732+00:00"}