{"id":"https://openalex.org/W4407692381","doi":"https://doi.org/10.1109/healthcom60970.2024.10880768","title":"Sentiment Analysis of Social Support on Treads of Social Media Using Deep Learning Approach","display_name":"Sentiment Analysis of Social Support on Treads of Social Media Using Deep Learning Approach","publication_year":2024,"publication_date":"2024-11-18","ids":{"openalex":"https://openalex.org/W4407692381","doi":"https://doi.org/10.1109/healthcom60970.2024.10880768"},"language":"en","primary_location":{"id":"doi:10.1109/healthcom60970.2024.10880768","is_oa":false,"landing_page_url":"https://doi.org/10.1109/healthcom60970.2024.10880768","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on E-health Networking, Application & Services (HealthCom)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101819502","display_name":"Hsin\u2010Yun Hsu","orcid":"https://orcid.org/0000-0001-9317-8892"},"institutions":[{"id":"https://openalex.org/I185940356","display_name":"Soochow University","ror":"https://ror.org/05kvm7n82","country_code":"TW","type":"education","lineage":["https://openalex.org/I185940356"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Hsin-Yun Hsu","raw_affiliation_strings":["Science Soochow University,Dept. of Data,Taipei,Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Science Soochow University,Dept. of Data,Taipei,Taiwan","institution_ids":["https://openalex.org/I185940356"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5116319422","display_name":"Kai-Chi Yu","orcid":null},"institutions":[{"id":"https://openalex.org/I185940356","display_name":"Soochow University","ror":"https://ror.org/05kvm7n82","country_code":"TW","type":"education","lineage":["https://openalex.org/I185940356"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Kai-Chi Yu","raw_affiliation_strings":["Science Soochow University,Dept. of Data,Taipei,Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Science Soochow University,Dept. of Data,Taipei,Taiwan","institution_ids":["https://openalex.org/I185940356"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087778670","display_name":"Jheng-Long Wu","orcid":"https://orcid.org/0000-0003-3494-5507"},"institutions":[{"id":"https://openalex.org/I185940356","display_name":"Soochow University","ror":"https://ror.org/05kvm7n82","country_code":"TW","type":"education","lineage":["https://openalex.org/I185940356"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Jheng-Long Wu","raw_affiliation_strings":["Science Soochow University,Dept. of Data,Taipei,Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Science Soochow University,Dept. of Data,Taipei,Taiwan","institution_ids":["https://openalex.org/I185940356"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5025971736","display_name":"Kai-Shyang Hsu","orcid":"https://orcid.org/0000-0003-3548-5792"},"institutions":[{"id":"https://openalex.org/I185940356","display_name":"Soochow University","ror":"https://ror.org/05kvm7n82","country_code":"TW","type":"education","lineage":["https://openalex.org/I185940356"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Kai-Shyang Hsu","raw_affiliation_strings":["Soochow University,Dept. of Social Work,Taipei,Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Soochow University,Dept. of Social Work,Taipei,Taiwan","institution_ids":["https://openalex.org/I185940356"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I185940356"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"3"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.8061000108718872,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.8061000108718872,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6589503288269043},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.6505463719367981},{"id":"https://openalex.org/keywords/sentiment-analysis","display_name":"Sentiment analysis","score":0.6120476722717285},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.48315638303756714},{"id":"https://openalex.org/keywords/tread","display_name":"Tread","score":0.4783056080341339},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.3874872922897339},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.3311985433101654},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.19427034258842468},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.06956586241722107}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6589503288269043},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.6505463719367981},{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.6120476722717285},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.48315638303756714},{"id":"https://openalex.org/C155296804","wikidata":"https://www.wikidata.org/wiki/Q30329684","display_name":"Tread","level":3,"score":0.4783056080341339},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3874872922897339},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3311985433101654},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.19427034258842468},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.06956586241722107},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C176933379","wikidata":"https://www.wikidata.org/wiki/Q131877","display_name":"Natural rubber","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/healthcom60970.2024.10880768","is_oa":false,"landing_page_url":"https://doi.org/10.1109/healthcom60970.2024.10880768","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on E-health Networking, Application & Services (HealthCom)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.6399999856948853}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":5,"referenced_works":["https://openalex.org/W2114062643","https://openalex.org/W2252191003","https://openalex.org/W2914772228","https://openalex.org/W4399273078","https://openalex.org/W4402670038"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2380565719","https://openalex.org/W4245120198","https://openalex.org/W1598269750","https://openalex.org/W2377540451","https://openalex.org/W2381037467","https://openalex.org/W2382217072","https://openalex.org/W580406586","https://openalex.org/W2354922059","https://openalex.org/W2367070861"],"abstract_inverted_index":{"This":[0,126],"research":[1,127],"aims":[2],"to":[3,54,93,129,144],"automatically":[4],"classify":[5],"social":[6,14,22,134],"support":[7,34,98,135],"threads":[8],"shared":[9],"by":[10],"users":[11],"on":[12,31],"public":[13],"network":[15],"platforms.":[16],"Recognizing":[17],"the":[18,70,75,102,109,116,130],"growing":[19],"role":[20],"of":[21,74,111,132],"platforms":[23],"in":[24],"providing":[25],"emotional":[26,83],"support,":[27],"this":[28,48],"study":[29,86],"focuses":[30],"identifying":[32,82],"different":[33],"types":[35],"using":[36,148],"sentiment":[37],"analysis.":[38,49],"By":[39],"incorporating":[40],"data":[41,63,77,103,149],"augmentation,":[42],"three":[43],"datasets":[44,121],"were":[45],"created":[46],"for":[47,80,118,141],"We":[50],"used":[51],"existing":[52],"models":[53,91,114],"compare":[55],"classification":[56,124,136],"performance.":[57],"The":[58,85],"results":[59],"indicate":[60],"that":[61,89],"while":[62],"augmentation":[64,150],"can":[65],"sometimes":[66],"improve":[67,145],"model":[68,146],"performance,":[69],"quality":[71],"and":[72,115,122,137,151],"context":[73],"original":[76],"are":[78],"crucial":[79],"accurately":[81],"support.":[84],"also":[87],"found":[88],"current":[90,112],"struggle":[92],"distinguish":[94],"subtle":[95],"differences":[96],"between":[97],"categories,":[99],"especially":[100],"when":[101],"is":[104],"imbalanced.":[105],"These":[106],"findings":[107],"highlight":[108],"limitations":[110],"AI":[113],"need":[117],"more":[119],"balanced":[120],"better":[123],"techniques.":[125],"contributes":[128],"development":[131],"automated":[133],"provides":[138],"a":[139],"foundation":[140],"future":[142],"studies":[143],"accuracy":[147],"advanced":[152],"methods.":[153]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}