{"id":"https://openalex.org/W2998926643","doi":"https://doi.org/10.1145/3341161.3343854","title":"Daily life patients sentiment analysis model based on well-encoded embedding vocabulary for related-medication text","display_name":"Daily life patients sentiment analysis model based on well-encoded embedding vocabulary for related-medication text","publication_year":2019,"publication_date":"2019-08-27","ids":{"openalex":"https://openalex.org/W2998926643","doi":"https://doi.org/10.1145/3341161.3343854","mag":"2998926643"},"language":"en","primary_location":{"id":"doi:10.1145/3341161.3343854","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3341161.3343854","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2019 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining","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/A5038978299","display_name":"Hanane Grisstte","orcid":null},"institutions":[{"id":"https://openalex.org/I4210119692","display_name":"Numerical Method (China)","ror":"https://ror.org/02ns8zp42","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210119692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hanane Grisstte","raw_affiliation_strings":["Laboratory of informatics,imaging, Numerical Analysis, Fez, Morroco"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Laboratory of informatics,imaging, Numerical Analysis, Fez, Morroco","institution_ids":["https://openalex.org/I4210119692"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5085575952","display_name":"El Habib Nfaoui","orcid":"https://orcid.org/0000-0002-5816-0897"},"institutions":[{"id":"https://openalex.org/I4210119692","display_name":"Numerical Method (China)","ror":"https://ror.org/02ns8zp42","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210119692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"ELhabib Nfaoui","raw_affiliation_strings":["Laboratory of informatics,imaging, Numerical Analysis, Fez, Morroco"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Laboratory of informatics,imaging, Numerical Analysis, Fez, Morroco","institution_ids":["https://openalex.org/I4210119692"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.1569,"has_fulltext":false,"cited_by_count":16,"citation_normalized_percentile":{"value":0.84866189,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"921","last_page":"928"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9997000098228455,"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":0.9997000098228455,"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":0.9995999932289124,"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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9965999722480774,"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":0.7573256492614746},{"id":"https://openalex.org/keywords/sentiment-analysis","display_name":"Sentiment analysis","score":0.6471925973892212},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5771813988685608},{"id":"https://openalex.org/keywords/word-embedding","display_name":"Word embedding","score":0.5638944506645203},{"id":"https://openalex.org/keywords/vocabulary","display_name":"Vocabulary","score":0.5575213432312012},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.5470432639122009},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5304968357086182},{"id":"https://openalex.org/keywords/unified-medical-language-system","display_name":"Unified Medical Language System","score":0.5268401503562927},{"id":"https://openalex.org/keywords/language-model","display_name":"Language model","score":0.4636581540107727},{"id":"https://openalex.org/keywords/lexical-analysis","display_name":"Lexical analysis","score":0.4314679205417633},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.2608378529548645},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.17387163639068604},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.1360471546649933}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7573256492614746},{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.6471925973892212},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5771813988685608},{"id":"https://openalex.org/C2777462759","wikidata":"https://www.wikidata.org/wiki/Q18395344","display_name":"Word embedding","level":3,"score":0.5638944506645203},{"id":"https://openalex.org/C2777601683","wikidata":"https://www.wikidata.org/wiki/Q6499736","display_name":"Vocabulary","level":2,"score":0.5575213432312012},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.5470432639122009},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5304968357086182},{"id":"https://openalex.org/C69505689","wikidata":"https://www.wikidata.org/wiki/Q455338","display_name":"Unified Medical Language System","level":2,"score":0.5268401503562927},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.4636581540107727},{"id":"https://openalex.org/C176982825","wikidata":"https://www.wikidata.org/wiki/Q835922","display_name":"Lexical analysis","level":2,"score":0.4314679205417633},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.2608378529548645},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.17387163639068604},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.1360471546649933},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3341161.3343854","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3341161.3343854","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2019 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7099999785423279,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W38739846","https://openalex.org/W1832693441","https://openalex.org/W1981276685","https://openalex.org/W2048101063","https://openalex.org/W2123442489","https://openalex.org/W2163922914","https://openalex.org/W2171469118","https://openalex.org/W2250539671","https://openalex.org/W2251939518","https://openalex.org/W2507373853","https://openalex.org/W2509884321","https://openalex.org/W2584429674","https://openalex.org/W2613995098","https://openalex.org/W2755675241","https://openalex.org/W2787857790","https://openalex.org/W2887510128","https://openalex.org/W2895296143","https://openalex.org/W2950577311","https://openalex.org/W3098115739"],"related_works":["https://openalex.org/W3158961892","https://openalex.org/W2622421183","https://openalex.org/W2771642857","https://openalex.org/W4235312256","https://openalex.org/W4396228344","https://openalex.org/W4387772941","https://openalex.org/W4392289557","https://openalex.org/W3186997021","https://openalex.org/W4200618314","https://openalex.org/W4308088897"],"abstract_inverted_index":{"Millions":[0],"of":[1,51,78,122,133],"health-related":[2],"messages":[3,94,113],"and":[4,38,61,68,84,114,160,171,189,197],"fresh":[5],"communications":[6],"can":[7],"reveal":[8],"important":[9],"public":[10],"health":[11],"issues.":[12],"New":[13],"Drugs,":[14],"Diseases,":[15],"Adverse":[16],"Drug":[17],"Reactions":[18],"(ADRs)":[19],"keep":[20],"appearing":[21],"on":[22,150,211],"social":[23,92,111,169],"media":[24,93,112,170],"in":[25,70,91,110,119,125,193,204,219],"new":[26],"Unicode":[27],"versions.":[28],"In":[29],"particular,":[30],"generative":[31],"Model":[32],"for":[33,53,154],"both":[34],"Sentiment":[35,146],"analysis":[36],"(SA)":[37],"Naturel":[39],"Language":[40],"Understanding":[41],"(NLU)":[42],"requires":[43],"medical":[44,80,116,123,166,174,185],"human":[45],"labeled":[46],"data":[47],"or":[48],"making":[49],"use":[50,77],"resources":[52,218],"weak":[54],"supervision":[55],"that":[56],"operates":[57],"with":[58],"the":[59,62,103,120],"ignorance":[60],"inability":[63],"to":[64,96,129,195],"define":[65],"related-medication":[66,155],"targets,":[67],"results":[69],"inaccurate":[71],"sentiment":[72,190],"prediction":[73,191],"performance.":[74],"The":[75,177,207],"frequent":[76],"informal":[79],"language,":[81],"nonstandard":[82],"format":[83],"abbreviation":[85],"forms,":[86],"as":[87,89],"well":[88],"typos":[90],"has":[95],"be":[97,130],"taken":[98],"into":[99],"account.":[100],"We":[101],"probe":[102],"transition-based":[104],"approach":[105],"between":[106,184],"patients":[107,145],"language":[108,117],"used":[109,118],"formal":[115,131],"descriptions":[121],"concepts":[124,161],"a":[126],"standard":[127],"ontology[21]":[128],"input":[132],"our":[134],"neural":[135,179],"network":[136,180],"model.":[137],"At":[138],"this":[139,220],"end,":[140],"we":[141],"propose":[142],"daily":[143],"life":[144,173],"Analysis":[147],"model":[148,188,192],"based":[149],"hybrid":[151],"embedding":[152],"vocabulary":[153],"text":[156],"under":[157],"distributed":[158],"dependency,":[159],"translation":[162],"methodology":[163],"by":[164],"incorporating":[165],"knowledge":[167],"from":[168],"real":[172,213],"science":[175],"systems.":[176],"proposed":[178],"layers":[181],"is":[182],"shared":[183],"concept":[186],"Normalization":[187],"order":[194],"understand":[196],"leverage":[198],"related-sentiment":[199],"information":[200],"behind":[201],"conceptualized":[202],"features":[203],"Multiple":[205],"context.":[206],"experiments":[208],"were":[209],"performed":[210],"various":[212],"world":[214],"scenarios":[215],"where":[216],"limited":[217],"case.":[221]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":4},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":3}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
