{"id":"https://openalex.org/W2546651658","doi":"https://doi.org/10.1108/oir-06-2015-0208","title":"Recognition of side effects as implicit-opinion words in drug reviews","display_name":"Recognition of side effects as implicit-opinion words in drug reviews","publication_year":2016,"publication_date":"2016-11-04","ids":{"openalex":"https://openalex.org/W2546651658","doi":"https://doi.org/10.1108/oir-06-2015-0208","mag":"2546651658"},"language":"en","primary_location":{"id":"doi:10.1108/oir-06-2015-0208","is_oa":false,"landing_page_url":"https://doi.org/10.1108/oir-06-2015-0208","pdf_url":null,"source":{"id":"https://openalex.org/S931548824","display_name":"Online Information Review","issn_l":"1468-4527","issn":["1468-4527","1468-4535"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319811","host_organization_name":"Emerald Publishing Limited","host_organization_lineage":["https://openalex.org/P4310319811"],"host_organization_lineage_names":["Emerald Publishing Limited"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Online Information Review","raw_type":"journal-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/A5047704443","display_name":"Monireh Ebrahimi","orcid":null},"institutions":[{"id":"https://openalex.org/I4576418","display_name":"University of Technology Malaysia","ror":"https://ror.org/026w31v75","country_code":"MY","type":"education","lineage":["https://openalex.org/I4576418"]}],"countries":["MY"],"is_corresponding":false,"raw_author_name":"Monireh Ebrahimi","raw_affiliation_strings":["Faculty of Computing, Universiti Teknologi Malaysia, Johor Bahru, Malaysia","Universiti Teknologi Malaysia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Computing, Universiti Teknologi Malaysia, Johor Bahru, Malaysia","institution_ids":["https://openalex.org/I4576418"]},{"raw_affiliation_string":"Universiti Teknologi Malaysia","institution_ids":["https://openalex.org/I4576418"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028828916","display_name":"Amir Hossein Yazdavar","orcid":"https://orcid.org/0000-0002-3898-9497"},"institutions":[{"id":"https://openalex.org/I4576418","display_name":"University of Technology Malaysia","ror":"https://ror.org/026w31v75","country_code":"MY","type":"education","lineage":["https://openalex.org/I4576418"]}],"countries":["MY"],"is_corresponding":false,"raw_author_name":"Amir Hossein Yazdavar","raw_affiliation_strings":["Faculty of Computing, Universiti Teknologi Malaysia, Johor Bahru, Malaysia","Universiti Teknologi Malaysia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Computing, Universiti Teknologi Malaysia, Johor Bahru, Malaysia","institution_ids":["https://openalex.org/I4576418"]},{"raw_affiliation_string":"Universiti Teknologi Malaysia","institution_ids":["https://openalex.org/I4576418"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012641332","display_name":"Naomie Salim","orcid":"https://orcid.org/0000-0001-8509-3055"},"institutions":[{"id":"https://openalex.org/I4576418","display_name":"University of Technology Malaysia","ror":"https://ror.org/026w31v75","country_code":"MY","type":"education","lineage":["https://openalex.org/I4576418"]}],"countries":["MY"],"is_corresponding":false,"raw_author_name":"Naomie Salim","raw_affiliation_strings":["Faculty of Computing, Universiti Teknologi Malaysia, Johor Bahru, Malaysia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Computing, Universiti Teknologi Malaysia, Johor Bahru, Malaysia","institution_ids":["https://openalex.org/I4576418"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5026816143","display_name":"Safaa Eltyeb","orcid":null},"institutions":[{"id":"https://openalex.org/I9353105","display_name":"Sudan University of Science and Technology","ror":"https://ror.org/02fwtg066","country_code":"SD","type":"education","lineage":["https://openalex.org/I9353105"]}],"countries":["SD"],"is_corresponding":false,"raw_author_name":"Safaa Eltyeb","raw_affiliation_strings":["College of Computer Science and Information Technology, Sudan University of Science and Technology, Khartoum, Malaysia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science and Information Technology, Sudan University of Science and Technology, Khartoum, Malaysia","institution_ids":["https://openalex.org/I9353105"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.196,"has_fulltext":false,"cited_by_count":19,"citation_normalized_percentile":{"value":0.80589157,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"40","issue":"7","first_page":"1018","last_page":"1032"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11710","display_name":"Biomedical Text Mining and Ontologies","score":0.9991000294685364,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T11710","display_name":"Biomedical Text Mining and Ontologies","score":0.9991000294685364,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10211","display_name":"Computational Drug Discovery Methods","score":0.9926000237464905,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T11943","display_name":"Pharmacovigilance and Adverse Drug Reactions","score":0.9915000200271606,"subfield":{"id":"https://openalex.org/subfields/3005","display_name":"Toxicology"},"field":{"id":"https://openalex.org/fields/30","display_name":"Pharmacology, Toxicology and Pharmaceutics"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.7700737714767456},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7683773040771484},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5919604897499084},{"id":"https://openalex.org/keywords/sentiment-analysis","display_name":"Sentiment analysis","score":0.5831284523010254},{"id":"https://openalex.org/keywords/originality","display_name":"Originality","score":0.5123668909072876},{"id":"https://openalex.org/keywords/information-extraction","display_name":"Information extraction","score":0.45551884174346924},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.4411613345146179},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4268415868282318},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.40950626134872437},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.35669368505477905},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.08527472615242004}],"concepts":[{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.7700737714767456},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7683773040771484},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5919604897499084},{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.5831284523010254},{"id":"https://openalex.org/C2776950860","wikidata":"https://www.wikidata.org/wiki/Q2914681","display_name":"Originality","level":3,"score":0.5123668909072876},{"id":"https://openalex.org/C195807954","wikidata":"https://www.wikidata.org/wiki/Q1662562","display_name":"Information extraction","level":2,"score":0.45551884174346924},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.4411613345146179},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4268415868282318},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.40950626134872437},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.35669368505477905},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.08527472615242004},{"id":"https://openalex.org/C11012388","wikidata":"https://www.wikidata.org/wiki/Q170658","display_name":"Creativity","level":2,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1108/oir-06-2015-0208","is_oa":false,"landing_page_url":"https://doi.org/10.1108/oir-06-2015-0208","pdf_url":null,"source":{"id":"https://openalex.org/S931548824","display_name":"Online Information Review","issn_l":"1468-4527","issn":["1468-4527","1468-4535"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319811","host_organization_name":"Emerald Publishing Limited","host_organization_lineage":["https://openalex.org/P4310319811"],"host_organization_lineage_names":["Emerald Publishing Limited"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Online Information Review","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7400000095367432,"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W182767159","https://openalex.org/W1593483425","https://openalex.org/W1905705922","https://openalex.org/W2125260686","https://openalex.org/W2164717195","https://openalex.org/W2187114012","https://openalex.org/W6602714684"],"related_works":["https://openalex.org/W2593155302","https://openalex.org/W2041415459","https://openalex.org/W2072812638","https://openalex.org/W3126095231","https://openalex.org/W2352855287","https://openalex.org/W4200071106","https://openalex.org/W2378906650","https://openalex.org/W2384288445","https://openalex.org/W2382526412","https://openalex.org/W2347474189"],"abstract_inverted_index":{"Purpose":[0],"Many":[1],"opinion-mining":[2],"systems":[3],"and":[4,19,64,98,119,140,150,179,185,194,214],"tools":[5],"have":[6],"been":[7],"developed":[8],"to":[9,39,72,92,187,216],"provide":[10],"users":[11],"with":[12,60],"the":[13,23,35,133,148,156,188,218],"attitudes":[14],"of":[15,26,34,68,135,182,190,201,221],"people":[16],"toward":[17],"entities":[18],"their":[20],"attributes":[21],"or":[22],"overall":[24],"polarities":[25],"documents.":[27],"In":[28],"addition,":[29],"side":[30,49,57,75],"effects":[31,58,76,166,212],"are":[32,138],"one":[33],"critical":[36],"measures":[37],"used":[38],"evaluate":[40],"a":[41,45,53,89,93,114,129,141],"patient\u2019s":[42],"opinion":[43],"for":[44,117,144,163],"particular":[46],"drug.":[47],"However,":[48,132],"effect":[50],"recognition":[51],"is":[52,71,226],"challenging":[54],"task,":[55],"since":[56],"coincide":[59],"disease":[61],"symptoms":[62],"lexically":[63],"syntactically.":[65],"The":[66,122,199],"purpose":[67],"this":[69,202],"paper":[70,87],"extract":[73],"drug":[74,78,108,165,211],"from":[77,106,168],"reviews":[79,109],"as":[80],"an":[81],"integral":[82],"implicit-opinion":[83],"words.":[84],"Design/methodology/approach":[85],"This":[86],"proposes":[88],"detection":[90],"algorithm":[91],"medical-opinion-mining":[94],"system":[95],"using":[96],"rule-based":[97,130],"support":[99,193],"vector":[100],"machines":[101],"(SVM)":[102],"algorithms.":[103],"A":[104],"corpus":[105],"225":[107],"was":[110],"manually":[111],"annotated":[112],"by":[113],"medical":[115,191],"expert":[116],"training":[118],"testing.":[120],"Findings":[121],"results":[123,134,200],"show":[124],"that":[125],"SVM":[126],"significantly":[127],"outperforms":[128],"algorithm.":[131],"both":[136],"algorithms":[137],"encouraging":[139],"good":[142],"foundation":[143],"future":[145],"research.":[146],"Obviating":[147],"limitations":[149],"exploiting":[151],"combined":[152],"approaches":[153],"would":[154],"improve":[155],"results.":[157],"Practical":[158],"implications":[159],"An":[160],"automatic":[161],"extraction":[162,180],"adverse":[164,210],"information":[167,177,224],"online":[169,223],"text":[170],"can":[171,204],"help":[172,205],"regulatory":[173],"authorities":[174],"in":[175,208],"rapid":[176],"screening":[178],"instead":[181],"manual":[183],"inspection":[184],"contributes":[186],"acceleration":[189],"decision":[192],"safety":[195],"alert":[196],"generation.":[197],"Originality/value":[198],"study":[203],"database":[206],"curators":[207],"compiling":[209],"databases":[213],"researchers":[215],"digest":[217],"huge":[219],"amount":[220],"textual":[222],"which":[225],"growing":[227],"rapidly.":[228]},"counts_by_year":[{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":2}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}