{"updated":"2025-01-19T14:18:31.380232+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00221077","sets":["6504:11035:11043"]},"path":["11043"],"owner":"44499","recid":"221077","title":["Character-Level CNNを用いた日本語評判分析"],"pubdate":{"attribute_name":"公開日","attribute_value":"2022-02-17"},"_buckets":{"deposit":"bba28a8a-99f6-4be2-97ac-c3bc666e15bd"},"_deposit":{"id":"221077","pid":{"type":"depid","value":"221077","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"Character-Level CNNを用いた日本語評判分析","author_link":["578631","578632"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"Character-Level CNNを用いた日本語評判分析"}]},"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":"2022-02-17","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":"木更津高専"},{"subitem_text_value":"木更津高専"}]},"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/221077/files/IPSJ-Z84-1V-02.pdf","label":"IPSJ-Z84-1V-02.pdf"},"date":[{"dateType":"Available","dateValue":"2022-10-22"}],"format":"application/pdf","filename":"IPSJ-Z84-1V-02.pdf","filesize":[{"value":"503.7 kB"}],"mimetype":"application/pdf","accessrole":"open_date","version_id":"47b2963f-516f-47b9-b2c1-b32cb579fecf","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2022 by the Information Processing Society of Japan"}]},"item_22_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"田村, 匠"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"丸山, 真佐夫"}],"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":"自然言語処理の分野では形態素解析をはじめとするデータの前処理は非常に重要であるが，近年これを不要とするCharacter-Level CNN （CLCNN）という手法が提案されている．これは画像処理分野で用いられるCNNを応用した手法で，短文の感情分析やトピック分類に向いている．そこで，本研究では日本語における短文評判分析データセットを用いてCLCNNの日本語評判分析における性能を評価した．実験の結果，CLCNNは評価極性辞書ベースの既存手法よりも高い性能を示し，TF-IDFを用いた機械学習ベースの既存手法と比較してもほぼ同等の性能を示した．CLCNNは前処理が不要でハイパーパラメータにも影響されづらいことから，短文評判分析分野において応用が期待される．","subitem_description_type":"Other"}]},"item_22_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"676","bibliographic_titles":[{"bibliographic_title":"第84回全国大会講演論文集"}],"bibliographicPageStart":"675","bibliographicIssueDates":{"bibliographicIssueDate":"2022-02-17","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"1","bibliographicVolumeNumber":"2022"}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"created":"2025-01-19T01:21:05.553146+00:00","id":221077,"links":{}}