{"id":"https://openalex.org/W3118395018","doi":"https://doi.org/10.1109/ieem45057.2020.9309807","title":"Personal Health Mention Identification from Tweets Using Convolutional Neural Network","display_name":"Personal Health Mention Identification from Tweets Using Convolutional Neural Network","publication_year":2020,"publication_date":"2020-12-14","ids":{"openalex":"https://openalex.org/W3118395018","doi":"https://doi.org/10.1109/ieem45057.2020.9309807","mag":"3118395018"},"language":"en","primary_location":{"id":"doi:10.1109/ieem45057.2020.9309807","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ieem45057.2020.9309807","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)","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/A5053039089","display_name":"Yitu Wang","orcid":"https://orcid.org/0000-0002-0129-7294"},"institutions":[{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]},{"id":"https://openalex.org/I47605537","display_name":"The Hang Seng University of Hong Kong","ror":"https://ror.org/04fa64g55","country_code":"CN","type":"education","lineage":["https://openalex.org/I47605537"]}],"countries":["CN","HK"],"is_corresponding":true,"raw_author_name":"Y. Wang","raw_affiliation_strings":["The Hang Seng University of Hong Kong, China"],"affiliations":[{"raw_affiliation_string":"The Hang Seng University of Hong Kong, China","institution_ids":["https://openalex.org/I47605537","https://openalex.org/I889458895"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100418692","display_name":"Xiaoli Li","orcid":"https://orcid.org/0000-0003-1359-5130"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"X. Li","raw_affiliation_strings":["City University of Hong Kong, Hong Kong SAR, China"],"affiliations":[{"raw_affiliation_string":"City University of Hong Kong, Hong Kong SAR, China","institution_ids":["https://openalex.org/I168719708"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5076664509","display_name":"Daniel Y. Mo","orcid":"https://orcid.org/0000-0001-8307-9065"},"institutions":[{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]},{"id":"https://openalex.org/I47605537","display_name":"The Hang Seng University of Hong Kong","ror":"https://ror.org/04fa64g55","country_code":"CN","type":"education","lineage":["https://openalex.org/I47605537"]}],"countries":["CN","HK"],"is_corresponding":false,"raw_author_name":"D. Y. Mo","raw_affiliation_strings":["The Hang Seng University of Hong Kong, China"],"affiliations":[{"raw_affiliation_string":"The Hang Seng University of Hong Kong, China","institution_ids":["https://openalex.org/I47605537","https://openalex.org/I889458895"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5053039089"],"corresponding_institution_ids":["https://openalex.org/I47605537","https://openalex.org/I889458895"],"apc_list":null,"apc_paid":null,"fwci":0.1326,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.5746694,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9987999796867371,"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/T10028","display_name":"Topic Modeling","score":0.9987999796867371,"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/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9987999796867371,"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/T13155","display_name":"Digital Communication and Language","score":0.9904000163078308,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"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/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7567594051361084},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7463428974151611},{"id":"https://openalex.org/keywords/emoji","display_name":"Emoji","score":0.7413074970245361},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.7394038438796997},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.6432139873504639},{"id":"https://openalex.org/keywords/sentence","display_name":"Sentence","score":0.5993323922157288},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.556777834892273},{"id":"https://openalex.org/keywords/encode","display_name":"ENCODE","score":0.5283302068710327},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5276966094970703},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.4844793975353241},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.3842950463294983},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.32411402463912964},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.2820814847946167}],"concepts":[{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7567594051361084},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7463428974151611},{"id":"https://openalex.org/C2779247141","wikidata":"https://www.wikidata.org/wiki/Q1049294","display_name":"Emoji","level":3,"score":0.7413074970245361},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.7394038438796997},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.6432139873504639},{"id":"https://openalex.org/C2777530160","wikidata":"https://www.wikidata.org/wiki/Q41796","display_name":"Sentence","level":2,"score":0.5993323922157288},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.556777834892273},{"id":"https://openalex.org/C66746571","wikidata":"https://www.wikidata.org/wiki/Q1134833","display_name":"ENCODE","level":3,"score":0.5283302068710327},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5276966094970703},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4844793975353241},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3842950463294983},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.32411402463912964},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.2820814847946167},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ieem45057.2020.9309807","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ieem45057.2020.9309807","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","score":0.4699999988079071,"display_name":"Good health and well-being"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W1614298861","https://openalex.org/W1832693441","https://openalex.org/W2061083700","https://openalex.org/W2119759918","https://openalex.org/W2124776405","https://openalex.org/W2164973920","https://openalex.org/W2250539671","https://openalex.org/W2265846598","https://openalex.org/W2493916176","https://openalex.org/W2604652676","https://openalex.org/W2799557147","https://openalex.org/W2948030332","https://openalex.org/W2950577311","https://openalex.org/W2963437433","https://openalex.org/W2963626623","https://openalex.org/W2972736338","https://openalex.org/W2999753286","https://openalex.org/W3018495088","https://openalex.org/W3088807475","https://openalex.org/W6636510571","https://openalex.org/W6677771139","https://openalex.org/W6678851513","https://openalex.org/W6684443387","https://openalex.org/W6719819555","https://openalex.org/W6723250868","https://openalex.org/W6736514301","https://openalex.org/W6772669113"],"related_works":["https://openalex.org/W4389567774","https://openalex.org/W4366957678","https://openalex.org/W4285115135","https://openalex.org/W2985411437","https://openalex.org/W2510851569","https://openalex.org/W3207908059","https://openalex.org/W2797785016","https://openalex.org/W2963370879","https://openalex.org/W3107525105","https://openalex.org/W2915013665"],"abstract_inverted_index":{"The":[0],"past":[1],"decade":[2],"witnesses":[3],"the":[4,30,52,101,122,134,143],"unprecedent":[5],"growth":[6],"of":[7,51,145],"social":[8,21,73,95],"media":[9,22,74,96],"users":[10],"worldwide.":[11],"People":[12],"express":[13],"health":[14,34,45,65],"related":[15],"outcomes,":[16],"information,":[17],"and":[18,36,38,80,86,154],"views":[19],"on":[20],"platforms.":[23],"This":[24,88,98],"provides":[25],"many":[26,78],"opportunities":[27],"to":[28,60,91,120,132],"utilize":[29],"data":[31,151],"source":[32],"for":[33,55,105,136],"monitoring":[35],"surveillance,":[37],"digital":[39],"epidemiology":[40],"in":[41,69],"real":[42],"time.":[43],"Personal":[44],"mention":[46],"(PHM)":[47],"is":[48,67],"among":[49],"one":[50],"critical":[53],"tasks":[54],"such":[56],"purpose.":[57],"It":[58],"tries":[59],"identify":[61],"whether":[62],"a":[63,70],"person's":[64],"condition":[66],"mentioned":[68],"sentence.":[71],"However,":[72],"texts":[75],"contain":[76],"noises,":[77],"creative":[79],"novel":[81],"phrases,":[82],"sarcastic":[83],"Emoji":[84],"expressions,":[85],"misspellings.":[87],"poses":[89],"challenges":[90],"detect":[92],"PHM":[93,102,137],"from":[94,108],"text.":[97,124],"paper":[99],"explores":[100],"identification":[103],"task":[104],"six":[106],"diseases":[107],"twitter":[109,123],"using":[110],"convolutional":[111],"neural":[112],"network":[113],"(CNN).":[114],"Specifically,":[115],"word":[116],"embeddings":[117],"are":[118,127,148],"used":[119],"encode":[121],"Then":[125],"they":[126],"fed":[128],"into":[129],"CNN":[130],"structure":[131],"train":[133],"classifier":[135],"identification.":[138],"We":[139],"also":[140],"explore":[141],"how":[142],"performance":[144],"different":[146],"methods":[147],"affected":[149],"by":[150],"imbalance":[152],"issue":[153],"training":[155],"sample":[156],"size.":[157]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}