{"metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00226471","sets":["1164:2735:11166:11285"]},"path":["11285"],"owner":"44499","recid":"226471","title":["Detection of Mental Disorders through Text Mining on Social Media"],"pubdate":{"attribute_name":"公開日","attribute_value":"2023-06-22"},"_buckets":{"deposit":"6d64a4d0-e6b3-4f13-8364-6bb8ae157e39"},"_deposit":{"id":"226471","pid":{"type":"depid","value":"226471","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"Detection of Mental Disorders through Text Mining on Social Media","author_link":["601352","601344","601350","601345","601348","601346","601349","601351","601347","601343"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"Detection of Mental Disorders through Text Mining on Social Media"},{"subitem_title":"Detection of Mental Disorders through Text Mining on Social 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Technology","subitem_text_language":"en"},{"subitem_text_value":"Nagoya Institute of Technology","subitem_text_language":"en"}]},"item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"eng"}]},"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/226471/files/IPSJ-MPS23143003.pdf","label":"IPSJ-MPS23143003.pdf"},"date":[{"dateType":"Available","dateValue":"2025-06-22"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-MPS23143003.pdf","filesize":[{"value":"1.8 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Inuzuka"}],"nameIdentifiers":[{}]}]},"item_4_creator_6":{"attribute_name":"著者名(英)","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Julien, Ghali","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Kosuke, Shima","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Koichi, Moriyama","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Atsuko, Mutoh","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Nobuhiro, Inuzuka","creatorNameLang":"en"}],"nameIdentifiers":[{}]}]},"item_4_source_id_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AN10505667","subitem_source_identifier_type":"NCID"}]},"item_4_textarea_12":{"attribute_name":"Notice","attribute_value_mlt":[{"subitem_textarea_value":"SIG Technical Reports are nonrefereed and hence may later appear in any journals, conferences, symposia, etc."}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourceuri":"http://purl.org/coar/resource_type/c_18gh","resourcetype":"technical report"}]},"item_4_source_id_11":{"attribute_name":"ISSN","attribute_value_mlt":[{"subitem_source_identifier":"2188-8833","subitem_source_identifier_type":"ISSN"}]},"item_4_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"Mental disorders are a growing concern worldwide, early detection and accurate identification can lead to better treatment outcomes. In this technical review, we explore the use of machine learning techniques to vectorize and identify mental disorders from textual data. We used a database of 700,000 Reddit posts published in six different subreddit associated with mental disorders: Anxiety, Borderline Personality Disorder, Bipolar, Depression, Mental Illness, and Schizophrenia. We used the TF-IDF vectorizer to represent the posts as numerical vectors and applied UMAP dimensionality reduction to visualize the data in two dimensions. We then applied k-means clustering to identify groups of posts with similar content. We found that some posts related to anxiety and mental illness were clustered together with schizophrenia posts, indicating similar symptoms and themes. Our results suggest that machine learning techniques can help identify patterns and relationships between mental disorders, potentially leading to improved diagnosis and treatment.","subitem_description_type":"Other"}]},"item_4_description_8":{"attribute_name":"論文抄録(英)","attribute_value_mlt":[{"subitem_description":"Mental disorders are a growing concern worldwide, early detection and accurate identification can lead to better treatment outcomes. In this technical review, we explore the use of machine learning techniques to vectorize and identify mental disorders from textual data. We used a database of 700,000 Reddit posts published in six different subreddit associated with mental disorders: Anxiety, Borderline Personality Disorder, Bipolar, Depression, Mental Illness, and Schizophrenia. We used the TF-IDF vectorizer to represent the posts as numerical vectors and applied UMAP dimensionality reduction to visualize the data in two dimensions. We then applied k-means clustering to identify groups of posts with similar content. We found that some posts related to anxiety and mental illness were clustered together with schizophrenia posts, indicating similar symptoms and themes. Our results suggest that machine learning techniques can help identify patterns and relationships between mental disorders, potentially leading to improved diagnosis and treatment.","subitem_description_type":"Other"}]},"item_4_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"6","bibliographic_titles":[{"bibliographic_title":"研究報告数理モデル化と問題解決（MPS）"}],"bibliographicPageStart":"1","bibliographicIssueDates":{"bibliographicIssueDate":"2023-06-22","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"3","bibliographicVolumeNumber":"2023-MPS-143"}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"updated":"2025-01-19T12:28:02.204111+00:00","created":"2025-01-19T01:25:55.243430+00:00","links":{},"id":226471}