{"id":"https://openalex.org/W4382999119","doi":"https://doi.org/10.1109/access.2023.3291592","title":"Sentiment Analysis in Turkish Question Answering Systems: An Application of Human-Robot Interaction","display_name":"Sentiment Analysis in Turkish Question Answering Systems: An Application of Human-Robot Interaction","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4382999119","doi":"https://doi.org/10.1109/access.2023.3291592"},"language":"en","primary_location":{"is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3291592","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10171379.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_indexed_in_scopus":true,"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":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true},"type":"article","type_crossref":"journal-article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10171379.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5051259960","display_name":"Kadir Tohma","orcid":"https://orcid.org/0000-0002-2631-7810"},"institutions":[{"id":"https://openalex.org/I4210155859","display_name":"\u0130skenderun Technical University","ror":"https://ror.org/052nzqz14","country_code":"TR","type":"education","lineage":["https://openalex.org/I4210155859"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Kadir Tohma","raw_affiliation_strings":["Department of Computer Engineering, Iskenderun Technical University, Iskenderun, Turkey"],"affiliations":[{"raw_affiliation_string":"Department of Computer Engineering, Iskenderun Technical University, Iskenderun, Turkey","institution_ids":["https://openalex.org/I4210155859"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103156920","display_name":"Halil \u0130brahim Okur","orcid":"https://orcid.org/0000-0003-0339-4626"},"institutions":[{"id":"https://openalex.org/I4210155859","display_name":"\u0130skenderun Technical University","ror":"https://ror.org/052nzqz14","country_code":"TR","type":"education","lineage":["https://openalex.org/I4210155859"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Halil Ibrahim Okur","raw_affiliation_strings":["Department of Computer Engineering, Iskenderun Technical University, Iskenderun, Turkey"],"affiliations":[{"raw_affiliation_string":"Department of Computer Engineering, Iskenderun Technical University, Iskenderun, Turkey","institution_ids":["https://openalex.org/I4210155859"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062586029","display_name":"Yakup Kutlu","orcid":"https://orcid.org/0000-0002-9853-2878"},"institutions":[{"id":"https://openalex.org/I4210155859","display_name":"\u0130skenderun Technical University","ror":"https://ror.org/052nzqz14","country_code":"TR","type":"education","lineage":["https://openalex.org/I4210155859"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Yakup Kutlu","raw_affiliation_strings":["Department of Computer Engineering, Iskenderun Technical University, Iskenderun, Turkey"],"affiliations":[{"raw_affiliation_string":"Department of Computer Engineering, Iskenderun Technical University, Iskenderun, Turkey","institution_ids":["https://openalex.org/I4210155859"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5065102655","display_name":"Ahmet Sertba\u015f","orcid":"https://orcid.org/0000-0001-8166-1211"},"institutions":[{"id":"https://openalex.org/I4210112471","display_name":"Istanbul University-Cerrahpa\u015fa","ror":"https://ror.org/01dzn5f42","country_code":"TR","type":"funder","lineage":["https://openalex.org/I4210112471"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Ahmet Sertbas","raw_affiliation_strings":["Department of Computer Engineering, Istanbul University-Cerrahpasa, Istanbul, Turkey"],"affiliations":[{"raw_affiliation_string":"Department of Computer Engineering, Istanbul University-Cerrahpasa, Istanbul, Turkey","institution_ids":["https://openalex.org/I4210112471"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":2.562,"has_fulltext":true,"fulltext_origin":"pdf","cited_by_count":9,"citation_normalized_percentile":{"value":0.796876,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":95},"biblio":{"volume":"11","issue":null,"first_page":"66522","last_page":"66534"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9998,"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":0.9998,"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":0.9997,"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/T10181","display_name":"Natural Language Processing Techniques","score":0.9923,"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/sentiment-analysis","display_name":"Sentiment Analysis","score":0.86272615},{"id":"https://openalex.org/keywords/word2vec","display_name":"Word2vec","score":0.82276267},{"id":"https://openalex.org/keywords/representation","display_name":"Representation","score":0.51489866},{"id":"https://openalex.org/keywords/bag-of-words-model","display_name":"Bag-of-words model","score":0.44606626}],"concepts":[{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.86272615},{"id":"https://openalex.org/C2776461190","wikidata":"https://www.wikidata.org/wiki/Q22673982","display_name":"Word2vec","level":3,"score":0.82276267},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8016183},{"id":"https://openalex.org/C2781121862","wikidata":"https://www.wikidata.org/wiki/Q256","display_name":"Turkish","level":2,"score":0.76432157},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.70117044},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.6482587},{"id":"https://openalex.org/C44291984","wikidata":"https://www.wikidata.org/wiki/Q1074173","display_name":"Question answering","level":2,"score":0.59236795},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.57597816},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.51489866},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.511336},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.49640542},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.4751194},{"id":"https://openalex.org/C13672336","wikidata":"https://www.wikidata.org/wiki/Q3460803","display_name":"Bag-of-words model","level":2,"score":0.44606626},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.41389352},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.08573437},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","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},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","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}],"mesh":[],"locations_count":1,"locations":[{"is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3291592","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10171379.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_indexed_in_scopus":true,"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":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true}],"best_oa_location":{"is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3291592","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10171379.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_indexed_in_scopus":true,"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":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true},"sustainable_development_goals":[{"score":0.48,"display_name":"Quality education","id":"https://metadata.un.org/sdg/4"}],"grants":[],"datasets":[],"versions":[],"referenced_works_count":55,"referenced_works":["https://openalex.org/W1488969938","https://openalex.org/W2148122886","https://openalex.org/W2170890002","https://openalex.org/W2215376118","https://openalex.org/W2323115738","https://openalex.org/W2598977781","https://openalex.org/W2726719675","https://openalex.org/W2757767940","https://openalex.org/W2810665353","https://openalex.org/W2886818114","https://openalex.org/W2890103383","https://openalex.org/W2892217184","https://openalex.org/W2896457183","https://openalex.org/W2901469510","https://openalex.org/W2903965027","https://openalex.org/W2907763896","https://openalex.org/W2913458235","https://openalex.org/W2930936628","https://openalex.org/W2935062239","https://openalex.org/W2946259650","https://openalex.org/W2950090767","https://openalex.org/W2962793900","https://openalex.org/W2988925015","https://openalex.org/W2993843842","https://openalex.org/W2997762557","https://openalex.org/W2998405852","https://openalex.org/W3035429019","https://openalex.org/W3037611961","https://openalex.org/W3043424630","https://openalex.org/W3083252702","https://openalex.org/W3094260676","https://openalex.org/W3118295810","https://openalex.org/W3140611135","https://openalex.org/W3149101596","https://openalex.org/W3156333129","https://openalex.org/W3156402058","https://openalex.org/W3161207330","https://openalex.org/W3163841364","https://openalex.org/W3174959106","https://openalex.org/W3196324893","https://openalex.org/W3202775307","https://openalex.org/W3214336427","https://openalex.org/W3214657877","https://openalex.org/W38739846","https://openalex.org/W4205471878","https://openalex.org/W4210879464","https://openalex.org/W4213125722","https://openalex.org/W4223916699","https://openalex.org/W4225378553","https://openalex.org/W4294170691","https://openalex.org/W4313294355","https://openalex.org/W4322505553","https://openalex.org/W4322732127","https://openalex.org/W4323240316","https://openalex.org/W4372049152"],"related_works":["https://openalex.org/W4297609205","https://openalex.org/W4251594503","https://openalex.org/W4226211987","https://openalex.org/W3175524270","https://openalex.org/W3092569358","https://openalex.org/W3040974839","https://openalex.org/W3003606604","https://openalex.org/W2912231714","https://openalex.org/W2795129682","https://openalex.org/W2509219942"],"abstract_inverted_index":{"The":[0],"use":[1],"of":[2,26,112,122,170],"the":[3,24,69,76,107,115],"sentiment":[4,38,130,175],"analysis":[5,39,131],"technique,":[6],"which":[7],"aims":[8],"to":[9,47,68,172,181],"extract":[10],"emotions":[11],"and":[12,54,79,91,98,109,136,143,146,148,189],"thoughts":[13],"from":[14],"texts,":[15],"has":[16],"become":[17],"a":[18,35,61,120,127],"remarkable":[19],"research":[20],"topic":[21],"today,":[22],"where":[23],"importance":[25],"human-robot":[27,183],"interaction":[28],"is":[29,41],"gradually":[30],"increasing.":[31],"In":[32,57],"this":[33,58,123,157,178],"study,":[34,124],"new":[36,128],"hybrid":[37,129],"model":[40],"proposed":[42],"using":[43,86],"machine":[44,152],"learning":[45,153],"algorithms":[46],"increase":[48],"emotional":[49],"performance":[50],"for":[51],"Turkish":[52,70,88,162,186],"question":[53,78],"answer":[55,80],"systems.":[56],"context,":[59],"as":[60],"first,":[62],"we":[63,74,101,125,165],"apply":[64],"text":[65,83,117,139],"preprocessing":[66],"steps":[67],"question-answer-emotion":[71],"dataset.":[72],"Subsequently,":[73],"convert":[75],"preprocessed":[77],"texts":[81],"into":[82,114,141],"vector":[84],"form":[85],"Pretrained":[87],"BERT":[89],"Model":[90],"two":[92],"different":[93],"word":[94],"representation":[95],"methods,":[96],"TF-IDF":[97],"word2vec.":[99],"Additionally,":[100],"incorporate":[102],"pre-determined":[103],"polarity":[104],"vectors":[105,140],"containing":[106],"positive":[108],"negative":[110],"scores":[111],"words":[113],"question-answer":[116,138],"vector.":[118],"As":[119],"result":[121],"propose":[126],"model.":[132],"We":[133],"separate":[134],"vectorized":[135],"expanded":[137],"training":[142],"testing":[144],"data":[145],"train":[147],"test":[149],"them":[150],"with":[151],"algorithms.":[154],"By":[155],"employing":[156],"previously":[158],"unused":[159],"method":[160],"in":[161,174,185],"question-answering":[163],"systems,":[164],"achieve":[166],"an":[167],"accuracy":[168],"value":[169],"up":[171],"91.05%":[173],"analysis.":[176],"Consequently,":[177],"study":[179],"contributes":[180],"making":[182],"interactions":[184],"more":[187],"realistic":[188],"sensitive.":[190]},"abstract_inverted_index_v3":null,"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W4382999119","counts_by_year":[{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":1}],"updated_date":"2025-03-15T15:13:18.146596","created_date":"2023-07-04"}