{"id":"https://openalex.org/W2912374904","doi":"https://doi.org/10.1177/0165551519827886","title":"HOMPer: A new hybrid system for opinion mining in the Persian language","display_name":"HOMPer: A new hybrid system for opinion mining in the Persian language","publication_year":2019,"publication_date":"2019-02-06","ids":{"openalex":"https://openalex.org/W2912374904","doi":"https://doi.org/10.1177/0165551519827886","mag":"2912374904"},"language":"en","primary_location":{"id":"doi:10.1177/0165551519827886","is_oa":false,"landing_page_url":"https://doi.org/10.1177/0165551519827886","pdf_url":null,"source":{"id":"https://openalex.org/S68913162","display_name":"Journal of Information Science","issn_l":"0165-5515","issn":["0165-5515","1741-6485"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320017","host_organization_name":"SAGE Publishing","host_organization_lineage":["https://openalex.org/P4310320017"],"host_organization_lineage_names":["SAGE Publishing"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Information Science","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/A5029483508","display_name":"Mohammad Ehsan Basiri","orcid":"https://orcid.org/0000-0003-2893-3892"},"institutions":[{"id":"https://openalex.org/I127908078","display_name":"Shahrekord University","ror":"https://ror.org/051rngw70","country_code":"IR","type":"education","lineage":["https://openalex.org/I127908078"]}],"countries":["IR"],"is_corresponding":true,"raw_author_name":"Mohammad Ehsan Basiri","raw_affiliation_strings":["Department of Computer Engineering, Shahrekord University, Iran"],"raw_orcid":"https://orcid.org/0000-0003-2893-3892","affiliations":[{"raw_affiliation_string":"Department of Computer Engineering, Shahrekord University, Iran","institution_ids":["https://openalex.org/I127908078"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5091182703","display_name":"Arman Kabiri","orcid":"https://orcid.org/0000-0001-8269-7195"},"institutions":[{"id":"https://openalex.org/I127908078","display_name":"Shahrekord University","ror":"https://ror.org/051rngw70","country_code":"IR","type":"education","lineage":["https://openalex.org/I127908078"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Arman Kabiri","raw_affiliation_strings":["Department of Computer Engineering, Shahrekord University, Iran"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Engineering, Shahrekord University, Iran","institution_ids":["https://openalex.org/I127908078"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5029483508"],"corresponding_institution_ids":["https://openalex.org/I127908078"],"apc_list":null,"apc_paid":null,"fwci":3.1062,"has_fulltext":false,"cited_by_count":37,"citation_normalized_percentile":{"value":0.93232509,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"46","issue":"1","first_page":"101","last_page":"117"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","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/T10664","display_name":"Sentiment Analysis and Opinion Mining","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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9993000030517578,"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":0.9936000108718872,"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/sentiment-analysis","display_name":"Sentiment analysis","score":0.8389419317245483},{"id":"https://openalex.org/keywords/lexicon","display_name":"Lexicon","score":0.7866969108581543},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7584160566329956},{"id":"https://openalex.org/keywords/persian","display_name":"Persian","score":0.664452314376831},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6465449929237366},{"id":"https://openalex.org/keywords/naive-bayes-classifier","display_name":"Naive Bayes classifier","score":0.6189853549003601},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.5917232036590576},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5661206841468811},{"id":"https://openalex.org/keywords/polarity","display_name":"Polarity (international relations)","score":0.48414143919944763},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.48311686515808105},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4669654667377472},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4365699589252472},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.33740413188934326},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.22494623064994812},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.10773202776908875}],"concepts":[{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.8389419317245483},{"id":"https://openalex.org/C2778121359","wikidata":"https://www.wikidata.org/wiki/Q8096","display_name":"Lexicon","level":2,"score":0.7866969108581543},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7584160566329956},{"id":"https://openalex.org/C2776527531","wikidata":"https://www.wikidata.org/wiki/Q9168","display_name":"Persian","level":2,"score":0.664452314376831},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6465449929237366},{"id":"https://openalex.org/C52001869","wikidata":"https://www.wikidata.org/wiki/Q812530","display_name":"Naive Bayes classifier","level":3,"score":0.6189853549003601},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.5917232036590576},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5661206841468811},{"id":"https://openalex.org/C2777361361","wikidata":"https://www.wikidata.org/wiki/Q1112585","display_name":"Polarity (international relations)","level":3,"score":0.48414143919944763},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.48311686515808105},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4669654667377472},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4365699589252472},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.33740413188934326},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.22494623064994812},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.10773202776908875},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C1491633281","wikidata":"https://www.wikidata.org/wiki/Q7868","display_name":"Cell","level":2,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1177/0165551519827886","is_oa":false,"landing_page_url":"https://doi.org/10.1177/0165551519827886","pdf_url":null,"source":{"id":"https://openalex.org/S68913162","display_name":"Journal of Information Science","issn_l":"0165-5515","issn":["0165-5515","1741-6485"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320017","host_organization_name":"SAGE Publishing","host_organization_lineage":["https://openalex.org/P4310320017"],"host_organization_lineage_names":["SAGE Publishing"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Information Science","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8100000023841858,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320322969","display_name":"Shahrekord University","ror":"https://ror.org/051rngw70"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W1932844280","https://openalex.org/W1987425720","https://openalex.org/W2005624335","https://openalex.org/W2020634673","https://openalex.org/W2060878354","https://openalex.org/W2081031258","https://openalex.org/W2095343322","https://openalex.org/W2132287116","https://openalex.org/W2135622467","https://openalex.org/W2156652490","https://openalex.org/W2162833697","https://openalex.org/W2163900343","https://openalex.org/W2253519362","https://openalex.org/W2293633461","https://openalex.org/W2409135246","https://openalex.org/W2410553363","https://openalex.org/W2478490256","https://openalex.org/W2592803138","https://openalex.org/W2594612337","https://openalex.org/W2594913822","https://openalex.org/W2612939437","https://openalex.org/W2615499310","https://openalex.org/W2767716323","https://openalex.org/W2912512851","https://openalex.org/W4205184193","https://openalex.org/W4211186029","https://openalex.org/W4231988426","https://openalex.org/W4233906183","https://openalex.org/W4234556776","https://openalex.org/W4245083945","https://openalex.org/W4301347335","https://openalex.org/W4392637264","https://openalex.org/W6712785905"],"related_works":["https://openalex.org/W2888662092","https://openalex.org/W3205826705","https://openalex.org/W2903394456","https://openalex.org/W2519006514","https://openalex.org/W2902285665","https://openalex.org/W2593058442","https://openalex.org/W1631585051","https://openalex.org/W2372057287","https://openalex.org/W2975174210","https://openalex.org/W2150818832"],"abstract_inverted_index":{"Opinion":[0],"mining":[1,7,61],"is":[2,40,117,124],"a":[3,41,120,153,177],"subfield":[4],"of":[5,45,111,136],"data":[6,155],"and":[8,18,47,72,80,114,144,176],"natural":[9],"language":[10,65],"processing":[11],"that":[12,163,184],"concerns":[13],"with":[14],"extracting":[15],"users\u2019":[16],"opinion":[17,31,60],"attitude":[19],"towards":[20],"products":[21],"or":[22],"services":[23],"from":[24],"their":[25,99],"comments":[26],"on":[27,152],"the":[28,53,63,130,134],"Web.":[29],"Persian":[30,64,131,159],"mining,":[32],"in":[33,38,62,129,170],"contrast":[34],"to":[35,172],"its":[36],"counterpart":[37],"English,":[39],"totally":[42],"new":[43,121],"field":[44],"study":[46],"hence,":[48],"it":[49,55],"has":[50],"not":[51,102],"received":[52],"attention":[54],"deserves.":[56],"Existing":[57],"methods":[58,76,116],"for":[59,83,92,126,193],"may":[66,188],"be":[67,90,190],"classified":[68],"into":[69],"machine":[70,112,137],"learning\u2013":[71,113],"lexicon-based":[73,115,179],"approaches.":[74],"These":[75],"have":[77],"been":[78],"proposed":[79,125,165,186],"successfully":[81,191],"used":[82,91,192],"polarity-detection":[84],"problem.":[85],"However,":[86],"when":[87],"they":[88],"should":[89],"more":[93],"complex":[94],"tasks":[95],"like":[96],"rating":[97],"prediction,":[98],"results":[100,151,182],"are":[101,147],"desirable.":[103],"In":[104],"this":[105,164,185],"study,":[106],"first":[107],"an":[108],"exhaustive":[109],"investigation":[110],"performed.":[118],"Then,":[119],"hybrid":[122],"method":[123,143,187],"rating-prediction":[127],"problem":[128],"language.":[132],"Finally,":[133],"effect":[135],"learning":[138],"component,":[139],"feature-selection":[140],"method,":[141],"normalisation":[142],"combination":[145],"level":[146],"investigated.":[148],"The":[149],"experimental":[150],"large":[154],"set":[156],"containing":[157],"16,000":[158],"customers\u2019":[160],"review":[161],"show":[162],"system":[166],"achieves":[167],"higher":[168],"performance":[169],"comparison":[171],"Na\u00efve":[173],"Bayes":[174],"algorithm":[175],"pure":[178],"method.":[180],"Moreover,":[181],"demonstrate":[183],"also":[189],"polarity":[194],"detection.":[195]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":8},{"year":2022,"cited_by_count":8},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":6},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}