{"id":"https://openalex.org/W2972353533","doi":"https://doi.org/10.18653/v1/w19-3224","title":"Detection of Adverse Drug Reaction in Tweets Using a Combination of Heterogeneous Word Embeddings","display_name":"Detection of Adverse Drug Reaction in Tweets Using a Combination of Heterogeneous Word Embeddings","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2972353533","doi":"https://doi.org/10.18653/v1/w19-3224","mag":"2972353533"},"language":"en","primary_location":{"id":"doi:10.18653/v1/w19-3224","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/w19-3224","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Fourth Social Media Mining for Health Applications (#SMM4H) Workshop & Shared Task","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.18653/v1/w19-3224","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5063612283","display_name":"Segun Taofeek Aroyehun","orcid":"https://orcid.org/0000-0002-2571-3731"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Segun Taofeek Aroyehun","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5049701126","display_name":"Alexander Gelbukh","orcid":"https://orcid.org/0000-0001-7845-9039"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Alexander Gelbukh","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5063612283"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.7001,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.78129302,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"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":0.9970999956130981,"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":0.9970999956130981,"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/T12262","display_name":"Hate Speech and Cyberbullying Detection","score":0.964900016784668,"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/T12380","display_name":"Authorship Attribution and Profiling","score":0.9542999863624573,"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":0.706445574760437},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.6854000091552734},{"id":"https://openalex.org/keywords/drug-reaction","display_name":"Drug reaction","score":0.6667746305465698},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5634410381317139},{"id":"https://openalex.org/keywords/adverse-drug-reaction","display_name":"Adverse drug reaction","score":0.5212160348892212},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.43730059266090393},{"id":"https://openalex.org/keywords/drug","display_name":"Drug","score":0.4088796377182007},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.15145736932754517},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.11320078372955322},{"id":"https://openalex.org/keywords/pharmacology","display_name":"Pharmacology","score":0.08718186616897583}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.706445574760437},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.6854000091552734},{"id":"https://openalex.org/C2993432071","wikidata":"https://www.wikidata.org/wiki/Q45959","display_name":"Drug reaction","level":3,"score":0.6667746305465698},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5634410381317139},{"id":"https://openalex.org/C2780542314","wikidata":"https://www.wikidata.org/wiki/Q45959","display_name":"Adverse drug reaction","level":3,"score":0.5212160348892212},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.43730059266090393},{"id":"https://openalex.org/C2780035454","wikidata":"https://www.wikidata.org/wiki/Q8386","display_name":"Drug","level":2,"score":0.4088796377182007},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15145736932754517},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.11320078372955322},{"id":"https://openalex.org/C98274493","wikidata":"https://www.wikidata.org/wiki/Q128406","display_name":"Pharmacology","level":1,"score":0.08718186616897583},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/w19-3224","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/w19-3224","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Fourth Social Media Mining for Health Applications (#SMM4H) Workshop & Shared Task","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18653/v1/w19-3224","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/w19-3224","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Fourth Social Media Mining for Health Applications (#SMM4H) Workshop & Shared Task","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":5,"referenced_works":["https://openalex.org/W2250539671","https://openalex.org/W2296283641","https://openalex.org/W2880875857","https://openalex.org/W2963341956","https://openalex.org/W2972736338"],"related_works":["https://openalex.org/W1508636238","https://openalex.org/W2373667733","https://openalex.org/W2994173949","https://openalex.org/W2384569975","https://openalex.org/W2347501567","https://openalex.org/W2352051165","https://openalex.org/W3100942902","https://openalex.org/W2378247705","https://openalex.org/W4230698152","https://openalex.org/W2377395944"],"abstract_inverted_index":{"This":[0],"paper":[1],"details":[2],"our":[3],"approach":[4],"to":[5,42],"the":[6,20],"task":[7],"of":[8,11,19,34,37,54],"detecting":[9],"reportage":[10],"adverse":[12],"drug":[13],"reaction":[14],"in":[15],"tweets":[16],"as":[17,40],"part":[18],"2019":[21],"social":[22],"media":[23],"mining":[24],"for":[25],"healthcare":[26],"applications":[27],"shared":[28],"task.":[29],"We":[30],"employed":[31],"a":[32,43],"combination":[33],"three":[35],"types":[36],"word":[38],"representations":[39],"input":[41],"LSTM":[44],"model.":[45],"With":[46],"this":[47],"approach,":[48],"we":[49],"achieved":[50],"an":[51],"F1":[52],"score":[53],"0.5209.":[55]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}