{"updated":"2025-01-21T10:11:26.349449+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00104621","sets":["6504:7684:7690"]},"path":["7690"],"owner":"6748","recid":"104621","title":["語の関係性を抽出した特徴ベクトルによる文書分類の提案"],"pubdate":{"attribute_name":"公開日","attribute_value":"2014-03-11"},"_buckets":{"deposit":"3fb17e71-b7e4-4b90-a06b-e88bf62b6698"},"_deposit":{"id":"104621","pid":{"type":"depid","value":"104621","revision_id":0},"owners":[6748],"status":"published","created_by":6748},"item_title":"語の関係性を抽出した特徴ベクトルによる文書分類の提案","author_link":["5124","5125"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"語の関係性を抽出した特徴ベクトルによる文書分類の提案"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"人工知能と認知科学","subitem_subject_scheme":"Other"}]},"item_type_id":"22","publish_date":"2014-03-11","item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"jpn"}]},"item_22_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"大阪教大"},{"subitem_text_value":"大阪教大"}]},"item_publisher":{"attribute_name":"出版者","attribute_value_mlt":[{"subitem_publisher":"情報処理学会","subitem_publisher_language":"ja"}]},"publish_status":"0","weko_shared_id":-1,"item_file_price":{"attribute_name":"Billing file","attribute_type":"file","attribute_value_mlt":[{"url":{"url":"https://ipsj.ixsq.nii.ac.jp/record/104621/files/IPSJ-Z76-2P-4.pdf"},"date":[{"dateType":"Available","dateValue":"2014-10-02"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-Z76-2P-4.pdf","filesize":[{"value":"129.3 kB"}],"mimetype":"application/pdf","priceinfo":[{"tax":["include_tax"],"price":"0","billingrole":"44"}],"accessrole":"open_date","version_id":"8b08c02b-2f59-414a-b971-7bef85651bbf","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2014 by the Information Processing Society of Japan"}]},"item_22_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"今井智宏"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"望月久稔"}],"nameIdentifiers":[{}]}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourceuri":"http://purl.org/coar/resource_type/c_5794","resourcetype":"conference paper"}]},"item_22_source_id_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AN00349328","subitem_source_identifier_type":"NCID"}]},"item_22_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"　ウェブ上には多種多様な人によって非常に高い頻度で様々な文書が更新される．しかしこれらは基本的に整理されておらずそのままの状態で利用することは難しい．自動で解析し，分類することができれば，市場調査や動向調査などの利用が期待できる．　そこで本稿は，まず語の共起関係からグラフを構築し解析することで、文書中に出現した語の重要度を表す特徴ベクトルを抽出する．続いて抽出した特徴ベクトルに対しk近傍法を用いることで文書を分類する．実験には日本語のウェブ記事であるITproを使用し，日本語の文書に対する分類精度を評価する．","subitem_description_type":"Other"}]},"item_22_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"116","bibliographic_titles":[{"bibliographic_title":"第76回全国大会講演論文集"}],"bibliographicPageStart":"115","bibliographicIssueDates":{"bibliographicIssueDate":"2014-03-11","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"1","bibliographicVolumeNumber":"2014"}]},"relation_version_is_last":true,"weko_creator_id":"6748"},"created":"2025-01-18T23:48:38.584326+00:00","id":104621,"links":{}}