{"id":"https://openalex.org/W2990522170","doi":"https://doi.org/10.1109/tcss.2019.2951326","title":"Improving Sentiment Polarity Detection Through Target Identification","display_name":"Improving Sentiment Polarity Detection Through Target Identification","publication_year":2019,"publication_date":"2019-11-26","ids":{"openalex":"https://openalex.org/W2990522170","doi":"https://doi.org/10.1109/tcss.2019.2951326","mag":"2990522170"},"language":"en","primary_location":{"id":"doi:10.1109/tcss.2019.2951326","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcss.2019.2951326","pdf_url":null,"source":{"id":"https://openalex.org/S2490693980","display_name":"IEEE Transactions on Computational Social Systems","issn_l":"2329-924X","issn":["2329-924X","2373-7476"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Computational Social Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://figshare.com/articles/journal_contribution/Improving_Sentiment_Polarity_Detection_through_Target_Identification/20720212","any_repository_has_fulltext":true},"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 Engineer- ing, Shahrekord University, Shahrekord, Iran"],"affiliations":[{"raw_affiliation_string":"Department of Computer Engineer- ing, Shahrekord University, Shahrekord, Iran","institution_ids":["https://openalex.org/I127908078"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014000715","display_name":"Moloud Abdar","orcid":"https://orcid.org/0000-0002-3059-6357"},"institutions":[{"id":"https://openalex.org/I159129438","display_name":"Universit\u00e9 du Qu\u00e9bec \u00e0 Montr\u00e9al","ror":"https://ror.org/002rjbv21","country_code":"CA","type":"education","lineage":["https://openalex.org/I159129438","https://openalex.org/I49663120"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Moloud Abdar","raw_affiliation_strings":["D\u00e9partement d\u2019informatique, Universit\u00e9 du Qu\u00e9bec \u00c0 Montr\u00e9al, Montreal, Canada","D\u00e9partement d'informatique, Universit\u00e9 du Qu\u00e9bec \u00c0 Montr\u00e9al, Montreal, Canada"],"affiliations":[{"raw_affiliation_string":"D\u00e9partement d\u2019informatique, Universit\u00e9 du Qu\u00e9bec \u00c0 Montr\u00e9al, Montreal, Canada","institution_ids":["https://openalex.org/I159129438"]},{"raw_affiliation_string":"D\u00e9partement d'informatique, Universit\u00e9 du Qu\u00e9bec \u00c0 Montr\u00e9al, Montreal, Canada","institution_ids":["https://openalex.org/I159129438"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091182703","display_name":"Arman Kabiri","orcid":"https://orcid.org/0000-0001-8269-7195"},"institutions":[{"id":"https://openalex.org/I106938459","display_name":"University of New Brunswick","ror":"https://ror.org/05nkf0n29","country_code":"CA","type":"education","lineage":["https://openalex.org/I106938459"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Arman Kabiri","raw_affiliation_strings":["Department of Computer Science, University of New Brunswick, Fredericton, Canada"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of New Brunswick, Fredericton, Canada","institution_ids":["https://openalex.org/I106938459"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011712422","display_name":"Shahla Nemati","orcid":"https://orcid.org/0000-0003-2906-5871"},"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":"Shahla Nemati","raw_affiliation_strings":["Department of Computer Engineer- ing, Shahrekord University, Shahrekord, Iran"],"affiliations":[{"raw_affiliation_string":"Department of Computer Engineer- ing, Shahrekord University, Shahrekord, Iran","institution_ids":["https://openalex.org/I127908078"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056799282","display_name":"Xujuan Zhou","orcid":"https://orcid.org/0000-0002-1736-739X"},"institutions":[{"id":"https://openalex.org/I185523456","display_name":"University of Southern Queensland","ror":"https://ror.org/04sjbnx57","country_code":"AU","type":"education","lineage":["https://openalex.org/I185523456"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Xujuan Zhou","raw_affiliation_strings":["School of Management and Enterprise, University of Southern Queensland, Toowoomba, Australia"],"affiliations":[{"raw_affiliation_string":"School of Management and Enterprise, University of Southern Queensland, Toowoomba, Australia","institution_ids":["https://openalex.org/I185523456"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066397925","display_name":"Forough Allahbakhshi","orcid":null},"institutions":[{"id":"https://openalex.org/I9256017","display_name":"Islamic Azad University of Najafabad","ror":"https://ror.org/015j7c446","country_code":"IR","type":"education","lineage":["https://openalex.org/I110525433","https://openalex.org/I9256017"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Forough Allahbakhshi","raw_affiliation_strings":["Faculty of Computer Engineering, Najafabad Branch, Islamic Azad University, Najafabad, Iran"],"affiliations":[{"raw_affiliation_string":"Faculty of Computer Engineering, Najafabad Branch, Islamic Azad University, Najafabad, Iran","institution_ids":["https://openalex.org/I9256017"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103084018","display_name":"Neil Y. Yen","orcid":"https://orcid.org/0000-0001-5384-4408"},"institutions":[{"id":"https://openalex.org/I141591182","display_name":"University of Aizu","ror":"https://ror.org/02pg0e883","country_code":"JP","type":"education","lineage":["https://openalex.org/I141591182"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Neil Y. Yen","raw_affiliation_strings":["Department of Computer Science, University of Aizu, Aizuwakamatsu, Japan"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Aizu, Aizuwakamatsu, Japan","institution_ids":["https://openalex.org/I141591182"]}]}],"institutions":[],"countries_distinct_count":4,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5029483508"],"corresponding_institution_ids":["https://openalex.org/I127908078"],"apc_list":null,"apc_paid":null,"fwci":2.1647,"has_fulltext":false,"cited_by_count":23,"citation_normalized_percentile":{"value":0.90858789,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":"7","issue":"1","first_page":"113","last_page":"128"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":1.0,"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":1.0,"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/T11644","display_name":"Spam and Phishing Detection","score":0.989300012588501,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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":0.9835000038146973,"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":0.8228099346160889},{"id":"https://openalex.org/keywords/lexicon","display_name":"Lexicon","score":0.7944774627685547},{"id":"https://openalex.org/keywords/polarity","display_name":"Polarity (international relations)","score":0.7802246809005737},{"id":"https://openalex.org/keywords/sentiment-analysis","display_name":"Sentiment analysis","score":0.7178443670272827},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.666800856590271},{"id":"https://openalex.org/keywords/sentence","display_name":"Sentence","score":0.6665838956832886},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5640290379524231},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5476192831993103},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.40914034843444824},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3203643560409546}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8228099346160889},{"id":"https://openalex.org/C2778121359","wikidata":"https://www.wikidata.org/wiki/Q8096","display_name":"Lexicon","level":2,"score":0.7944774627685547},{"id":"https://openalex.org/C2777361361","wikidata":"https://www.wikidata.org/wiki/Q1112585","display_name":"Polarity (international relations)","level":3,"score":0.7802246809005737},{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.7178443670272827},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.666800856590271},{"id":"https://openalex.org/C2777530160","wikidata":"https://www.wikidata.org/wiki/Q41796","display_name":"Sentence","level":2,"score":0.6665838956832886},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5640290379524231},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5476192831993103},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.40914034843444824},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3203643560409546},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"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/C1491633281","wikidata":"https://www.wikidata.org/wiki/Q7868","display_name":"Cell","level":2,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/tcss.2019.2951326","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcss.2019.2951326","pdf_url":null,"source":{"id":"https://openalex.org/S2490693980","display_name":"IEEE Transactions on Computational Social Systems","issn_l":"2329-924X","issn":["2329-924X","2373-7476"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Computational Social Systems","raw_type":"journal-article"},{"id":"pmh:oai:dro.deakin.edu.au:DU:30134234","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4306401102","display_name":"Own your potential (DEAKIN)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I149704539","host_organization_name":"Deakin University","host_organization_lineage":["https://openalex.org/I149704539"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Journal Article"},{"id":"pmh:oai:eprints.usq.edu.au:37425","is_oa":false,"landing_page_url":"https://ieeexplore.ieee.org/document/8911218/authors#authors","pdf_url":null,"source":{"id":"https://openalex.org/S4306400692","display_name":"University of Southern Queensland ePrints (University of Southern Queensland)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I185523456","host_organization_name":"University of Southern Queensland","host_organization_lineage":["https://openalex.org/I185523456"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Article (Commonwealth Reporting Category C)"},{"id":"pmh:oai:figshare.com:article/20720212","is_oa":true,"landing_page_url":"https://figshare.com/articles/journal_contribution/Improving_Sentiment_Polarity_Detection_through_Target_Identification/20720212","pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Text"}],"best_oa_location":{"id":"pmh:oai:figshare.com:article/20720212","is_oa":true,"landing_page_url":"https://figshare.com/articles/journal_contribution/Improving_Sentiment_Polarity_Detection_through_Target_Identification/20720212","pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Text"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.6299999952316284}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":50,"referenced_works":["https://openalex.org/W38037257","https://openalex.org/W1498474356","https://openalex.org/W1932844280","https://openalex.org/W1968215287","https://openalex.org/W1979133623","https://openalex.org/W1979432867","https://openalex.org/W1987425720","https://openalex.org/W1998797625","https://openalex.org/W2081031258","https://openalex.org/W2084046180","https://openalex.org/W2088879970","https://openalex.org/W2089722028","https://openalex.org/W2095343322","https://openalex.org/W2097726431","https://openalex.org/W2108646579","https://openalex.org/W2127613773","https://openalex.org/W2135622467","https://openalex.org/W2147687659","https://openalex.org/W2149167588","https://openalex.org/W2166706824","https://openalex.org/W2252057809","https://openalex.org/W2400093769","https://openalex.org/W2469909589","https://openalex.org/W2513534526","https://openalex.org/W2552881188","https://openalex.org/W2556605533","https://openalex.org/W2560136348","https://openalex.org/W2594612337","https://openalex.org/W2606962553","https://openalex.org/W2736344293","https://openalex.org/W2738686333","https://openalex.org/W2757016771","https://openalex.org/W2767716323","https://openalex.org/W2791598615","https://openalex.org/W2792962410","https://openalex.org/W2794904450","https://openalex.org/W2806102057","https://openalex.org/W2912374904","https://openalex.org/W2926264417","https://openalex.org/W2947431935","https://openalex.org/W2956281465","https://openalex.org/W3152231500","https://openalex.org/W4205184193","https://openalex.org/W4211186029","https://openalex.org/W4233906183","https://openalex.org/W6601525551","https://openalex.org/W6629886730","https://openalex.org/W6674272631","https://openalex.org/W6712785905","https://openalex.org/W6729816935"],"related_works":["https://openalex.org/W2888662092","https://openalex.org/W3205826705","https://openalex.org/W2903394456","https://openalex.org/W2902285665","https://openalex.org/W3119550360","https://openalex.org/W2519006514","https://openalex.org/W2372057287","https://openalex.org/W2975174210","https://openalex.org/W4200238620","https://openalex.org/W2244029015"],"abstract_inverted_index":{"In":[0,48,75,142],"an":[1],"opinionated":[2,42],"long":[3,60],"review,":[4],"there":[5],"may":[6],"be":[7],"several":[8],"targets":[9,197],"described":[10],"by":[11],"different":[12,156],"potential":[13,121],"terms.":[14],"Traditional":[15],"review-level":[16],"techniques":[17],"for":[18,237],"Persian":[19,178],"sentiment":[20,131],"analysis":[21],"addressed":[22,170],"the":[23,31,69,76,109,113,117,124,137,140,146,171,177,184,195,202,205,218,222,226,231,239,244],"problem":[24,172],"using":[25,39,116,221],"a":[26,35,51,59,129,188],"one-method-fits-all":[27],"solution":[28],"in":[29,123,176,211,229],"which":[30,56],"overall":[32],"polarity":[33,138,241],"of":[34,72,112,139,152,173,182,198,204,213,234,242],"review":[36,61],"is":[37,54,133],"calculated":[38],"all":[40],"its":[41,63],"words":[43],"without":[44],"considering":[45],"their":[46],"target.":[47],"this":[49],"article,":[50],"new":[52],"method":[53,186,191,220],"proposed,":[55],"first":[57,84,88,92,94,96,101],"decomposes":[58],"into":[62],"constituent":[64],"sentences":[65,125],"and":[66,98,128,162,209,215],"then":[67],"detects":[68],"main":[70,110,196,232],"target":[71,111,174,233],"each":[73],"sentence.":[74],"next":[77],"step,":[78],"five":[79],"policies,":[80],"including":[81,158],"most":[82,86,90],"occurring":[83,95,100],"(MOF),":[85],"general":[87],"(MGF),":[89],"specific":[91],"(MSF),":[93],"(FOF),":[97],"last":[99],"(LOF),":[102],"are":[103,126,164],"proposed":[104,147,185,219],"to":[105,135,144],"come":[106],"up":[107],"with":[108,187],"review.":[114],"Finally,":[115],"part-of-speech":[118],"(POS)":[119],"tags,":[120],"terms":[122,212],"specified":[127],"comprehensive":[130],"lexicon":[132],"employed":[134],"compute":[136],"sentences.":[141],"order":[143],"evaluate":[145],"method,":[148],"three":[149],"data":[150],"sets":[151],"user":[153],"reviews":[154,199],"about":[155,207],"topics,":[157],"digital":[159],"equipment,":[160],"hotels,":[161],"movies,":[163],"created":[165],"as":[166],"no":[167],"previous":[168],"study":[169],"identification":[175],"language.":[179],"The":[180],"results":[181],"comparing":[183],"state-of-the-art":[189],"lexicon-based":[190],"show":[192],"that":[193],"specifying":[194],"can":[200],"improve":[201],"performance":[203,228],"systems":[206],"17%":[208],"12%":[210],"accuracy":[214],"F1-measure.":[216],"Moreover,":[217],"MGF":[223],"policy":[224],"achieves":[225],"best":[227],"finding":[230,238],"reviews,":[235,243],"while":[236],"ultimate":[240],"MOF":[245],"outperforms":[246],"other":[247],"policies.":[248]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":8},{"year":2020,"cited_by_count":4}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}