{"id":"https://openalex.org/W2967917453","doi":"https://doi.org/10.1109/cibcb.2019.8791452","title":"Constructing a Semantic Graph with Depression Symptoms Extraction from Twitter","display_name":"Constructing a Semantic Graph with Depression Symptoms Extraction from Twitter","publication_year":2019,"publication_date":"2019-07-01","ids":{"openalex":"https://openalex.org/W2967917453","doi":"https://doi.org/10.1109/cibcb.2019.8791452","mag":"2967917453"},"language":"en","primary_location":{"id":"doi:10.1109/cibcb.2019.8791452","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cibcb.2019.8791452","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB)","raw_type":"proceedings-article"},"type":"article","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/A5013219972","display_name":"Long Ma","orcid":"https://orcid.org/0000-0002-5011-2161"},"institutions":[{"id":"https://openalex.org/I149292303","display_name":"Troy University","ror":"https://ror.org/029jj9438","country_code":"US","type":"education","lineage":["https://openalex.org/I149292303"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Long Ma","raw_affiliation_strings":["Computer Science Department, Troy University, Troy, Alabama"],"affiliations":[{"raw_affiliation_string":"Computer Science Department, Troy University, Troy, Alabama","institution_ids":["https://openalex.org/I149292303"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100322682","display_name":"Yan Wang","orcid":"https://orcid.org/0000-0002-3984-6973"},"institutions":[{"id":"https://openalex.org/I149292303","display_name":"Troy University","ror":"https://ror.org/029jj9438","country_code":"US","type":"education","lineage":["https://openalex.org/I149292303"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yan Wang","raw_affiliation_strings":["Computer Science Department, Troy University, Troy, Alabama"],"affiliations":[{"raw_affiliation_string":"Computer Science Department, Troy University, Troy, Alabama","institution_ids":["https://openalex.org/I149292303"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5013219972"],"corresponding_institution_ids":["https://openalex.org/I149292303"],"apc_list":null,"apc_paid":null,"fwci":2.5924,"has_fulltext":false,"cited_by_count":17,"citation_normalized_percentile":{"value":0.89164491,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"3","issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12488","display_name":"Mental Health via Writing","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/3207","display_name":"Social Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T12488","display_name":"Mental Health via Writing","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/3207","display_name":"Social Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9977999925613403,"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"}},{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9805999994277954,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/depression","display_name":"Depression (economics)","score":0.6584352850914001},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5902575850486755},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5777636170387268},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.49371537566185},{"id":"https://openalex.org/keywords/data-extraction","display_name":"Data extraction","score":0.4744100272655487},{"id":"https://openalex.org/keywords/semantic-technology","display_name":"Semantic technology","score":0.4737430512905121},{"id":"https://openalex.org/keywords/semantic-data-model","display_name":"Semantic data model","score":0.4644586741924286},{"id":"https://openalex.org/keywords/software","display_name":"Software","score":0.42798590660095215},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4233374297618866},{"id":"https://openalex.org/keywords/medical-diagnosis","display_name":"Medical diagnosis","score":0.4149618446826935},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.41202640533447266},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.39465540647506714},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.37626832723617554},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.3673841953277588},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.36717545986175537},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.3417131304740906},{"id":"https://openalex.org/keywords/internet-privacy","display_name":"Internet privacy","score":0.3335392475128174},{"id":"https://openalex.org/keywords/semantic-web","display_name":"Semantic Web","score":0.32494187355041504},{"id":"https://openalex.org/keywords/semantic-computing","display_name":"Semantic computing","score":0.3203800916671753},{"id":"https://openalex.org/keywords/medline","display_name":"MEDLINE","score":0.2543463706970215},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.24613818526268005},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.20221033692359924}],"concepts":[{"id":"https://openalex.org/C2776867660","wikidata":"https://www.wikidata.org/wiki/Q1814941","display_name":"Depression (economics)","level":2,"score":0.6584352850914001},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5902575850486755},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5777636170387268},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.49371537566185},{"id":"https://openalex.org/C2777466982","wikidata":"https://www.wikidata.org/wiki/Q5227287","display_name":"Data extraction","level":3,"score":0.4744100272655487},{"id":"https://openalex.org/C6881194","wikidata":"https://www.wikidata.org/wiki/Q7449091","display_name":"Semantic technology","level":4,"score":0.4737430512905121},{"id":"https://openalex.org/C90312973","wikidata":"https://www.wikidata.org/wiki/Q7449052","display_name":"Semantic data model","level":2,"score":0.4644586741924286},{"id":"https://openalex.org/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"score":0.42798590660095215},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4233374297618866},{"id":"https://openalex.org/C534262118","wikidata":"https://www.wikidata.org/wiki/Q177719","display_name":"Medical diagnosis","level":2,"score":0.4149618446826935},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.41202640533447266},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.39465540647506714},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.37626832723617554},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3673841953277588},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.36717545986175537},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.3417131304740906},{"id":"https://openalex.org/C108827166","wikidata":"https://www.wikidata.org/wiki/Q175975","display_name":"Internet privacy","level":1,"score":0.3335392475128174},{"id":"https://openalex.org/C2129575","wikidata":"https://www.wikidata.org/wiki/Q54837","display_name":"Semantic Web","level":2,"score":0.32494187355041504},{"id":"https://openalex.org/C511149849","wikidata":"https://www.wikidata.org/wiki/Q7449051","display_name":"Semantic computing","level":3,"score":0.3203800916671753},{"id":"https://openalex.org/C2779473830","wikidata":"https://www.wikidata.org/wiki/Q1540899","display_name":"MEDLINE","level":2,"score":0.2543463706970215},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.24613818526268005},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.20221033692359924},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C139719470","wikidata":"https://www.wikidata.org/wiki/Q39680","display_name":"Macroeconomics","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cibcb.2019.8791452","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cibcb.2019.8791452","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.75,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W2402700","https://openalex.org/W2018165284","https://openalex.org/W2031213082","https://openalex.org/W2058013187","https://openalex.org/W2094553285","https://openalex.org/W2520730796","https://openalex.org/W2618742246","https://openalex.org/W2998704965","https://openalex.org/W4232159537","https://openalex.org/W4285719527","https://openalex.org/W4294170691","https://openalex.org/W6680532216","https://openalex.org/W6682691769"],"related_works":["https://openalex.org/W2280628760","https://openalex.org/W1990650227","https://openalex.org/W4200411507","https://openalex.org/W2779831736","https://openalex.org/W2382028126","https://openalex.org/W2084998560","https://openalex.org/W2068597994","https://openalex.org/W2611508326","https://openalex.org/W2364472053","https://openalex.org/W2013055153"],"abstract_inverted_index":{"Depression":[0],"diagnosis":[1,26,36,162],"is":[2,12,54,84],"a":[3,15,22,39,51,102,121,169],"critical":[4],"challenge":[5],"in":[6,50],"mental":[7],"precision":[8],"medicine":[9],"since":[10],"there":[11],"currently":[13],"no":[14],"gold":[16],"standard":[17],"using":[18],"depression":[19,25,35,87,109,142,150,161,171],"symptoms.":[20,42,112],"Usually,":[21],"doctor":[23],"makes":[24],"based":[27],"on":[28,38,79],"patients'":[29,59],"answers":[30],"to":[31,44,57,85,105,134,157],"interview":[32],"questions.":[33],"The":[34,81],"depends":[37],"person's":[40],"behavioral":[41],"Due":[43],"the":[45,90,126,136,140,147,149],"privacy":[46],"of":[47],"clinical":[48],"data":[49,69,93],"hospital,":[52],"it":[53],"very":[55],"hard":[56],"get":[58],"medical":[60,166],"data.":[61],"Thus,":[62],"we":[63,119],"directly":[64],"use":[65],"public":[66],"social":[67,92],"media":[68],"containing":[70],"much":[71],"information":[72],"from":[73,89,94,114,144],"patients,":[74],"doctors":[75,167],"and":[76,99,110,129,168],"other":[77],"people":[78],"Twitter.":[80],"research":[82],"goal":[83],"extract":[86],"symptoms":[88,143],"massive":[91],"Twitter":[95],"via":[96],"text":[97],"mining":[98],"then":[100],"make":[101,135],"semantic":[103,137,152],"graph":[104,138,153],"represent":[106],"correlations":[107],"between":[108],"its":[111],"Different":[113],"commonly":[115],"used":[116,156],"statistical":[117,127],"methods,":[118],"propose":[120],"hybrid":[122],"method":[123],"that":[124],"integrates":[125],"analysis":[128],"natural":[130],"language":[131],"processing":[132],"techniques":[133],"with":[139],"discovered":[141],"tweets.":[145],"In":[146],"future,":[148],"symptom":[151],"will":[154],"be":[155],"build":[158],"an":[159],"intelligent":[160],"software":[163,173],"system":[164,174],"for":[165,175],"convenient":[170],"self-screening":[172],"ordinary":[176],"people.":[177]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":6},{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}