{"id":"https://openalex.org/W3097775622","doi":"https://doi.org/10.1080/17517575.2020.1773542","title":"Opinion mining in higher education: a corpus-based approach","display_name":"Opinion mining in higher education: a corpus-based approach","publication_year":2020,"publication_date":"2020-11-01","ids":{"openalex":"https://openalex.org/W3097775622","doi":"https://doi.org/10.1080/17517575.2020.1773542","mag":"3097775622"},"language":"en","primary_location":{"id":"doi:10.1080/17517575.2020.1773542","is_oa":false,"landing_page_url":"https://doi.org/10.1080/17517575.2020.1773542","pdf_url":null,"source":{"id":"https://openalex.org/S24861202","display_name":"Enterprise Information Systems","issn_l":"1751-7575","issn":["1751-7575","1751-7583"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Enterprise Information Systems","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/A5013969768","display_name":"Olivera Grljevi\u0107","orcid":"https://orcid.org/0000-0002-6028-1153"},"institutions":[{"id":"https://openalex.org/I170726198","display_name":"University of Novi Sad","ror":"https://ror.org/00xa57a59","country_code":"RS","type":"education","lineage":["https://openalex.org/I170726198"]}],"countries":["RS"],"is_corresponding":false,"raw_author_name":"Olivera Grljevi\u0107","raw_affiliation_strings":["Faculty of Economics in Subotica, University of Novi Sad, Subotica, Serbia"],"raw_orcid":"https://orcid.org/0000-0002-6028-1153","affiliations":[{"raw_affiliation_string":"Faculty of Economics in Subotica, University of Novi Sad, Subotica, Serbia","institution_ids":["https://openalex.org/I170726198"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101745574","display_name":"Zita Bo\u0161njak","orcid":"https://orcid.org/0000-0002-3656-4073"},"institutions":[{"id":"https://openalex.org/I170726198","display_name":"University of Novi Sad","ror":"https://ror.org/00xa57a59","country_code":"RS","type":"education","lineage":["https://openalex.org/I170726198"]}],"countries":["RS"],"is_corresponding":false,"raw_author_name":"Zita Bo\u0161njak","raw_affiliation_strings":["Faculty of Economics in Subotica, University of Novi Sad, Subotica, Serbia"],"raw_orcid":"https://orcid.org/0000-0002-3656-4073","affiliations":[{"raw_affiliation_string":"Faculty of Economics in Subotica, University of Novi Sad, Subotica, Serbia","institution_ids":["https://openalex.org/I170726198"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5049040748","display_name":"Aleksandar Kova\u010devi\u0107","orcid":"https://orcid.org/0000-0002-8342-9333"},"institutions":[{"id":"https://openalex.org/I170726198","display_name":"University of Novi Sad","ror":"https://ror.org/00xa57a59","country_code":"RS","type":"education","lineage":["https://openalex.org/I170726198"]}],"countries":["RS"],"is_corresponding":true,"raw_author_name":"Aleksandar Kova\u010devi\u0107","raw_affiliation_strings":["Faculty of Technical Sciences, University of Novi Sad, Novi Sad, Serbia"],"raw_orcid":"https://orcid.org/0000-0002-8342-9333","affiliations":[{"raw_affiliation_string":"Faculty of Technical Sciences, University of Novi Sad, Novi Sad, Serbia","institution_ids":["https://openalex.org/I170726198"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5049040748"],"corresponding_institution_ids":["https://openalex.org/I170726198"],"apc_list":null,"apc_paid":null,"fwci":2.3102,"has_fulltext":false,"cited_by_count":27,"citation_normalized_percentile":{"value":0.90877737,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"16","issue":"5","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9998999834060669,"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":0.9998999834060669,"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/T11795","display_name":"Humor Studies and Applications","score":0.9686999917030334,"subfield":{"id":"https://openalex.org/subfields/3207","display_name":"Social Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T13083","display_name":"Advanced Text Analysis Techniques","score":0.965399980545044,"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":0.773549497127533},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7178395390510559},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.6663120985031128},{"id":"https://openalex.org/keywords/serbian","display_name":"Serbian","score":0.6290280818939209},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6230189800262451},{"id":"https://openalex.org/keywords/corpus-linguistics","display_name":"Corpus linguistics","score":0.5045825242996216},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.4950091242790222},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.488528847694397},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.42966049909591675},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.3352590501308441},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.24418765306472778},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.22101163864135742}],"concepts":[{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.773549497127533},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7178395390510559},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.6663120985031128},{"id":"https://openalex.org/C2778408831","wikidata":"https://www.wikidata.org/wiki/Q9299","display_name":"Serbian","level":2,"score":0.6290280818939209},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6230189800262451},{"id":"https://openalex.org/C532629269","wikidata":"https://www.wikidata.org/wiki/Q865083","display_name":"Corpus linguistics","level":2,"score":0.5045825242996216},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.4950091242790222},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.488528847694397},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.42966049909591675},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3352590501308441},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.24418765306472778},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.22101163864135742},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","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:10.1080/17517575.2020.1773542","is_oa":false,"landing_page_url":"https://doi.org/10.1080/17517575.2020.1773542","pdf_url":null,"source":{"id":"https://openalex.org/S24861202","display_name":"Enterprise Information Systems","issn_l":"1751-7575","issn":["1751-7575","1751-7583"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Enterprise Information Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.8799999952316284}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":59,"referenced_works":["https://openalex.org/W117202751","https://openalex.org/W127812941","https://openalex.org/W286766021","https://openalex.org/W1493379323","https://openalex.org/W1513398909","https://openalex.org/W1540934181","https://openalex.org/W1573641422","https://openalex.org/W1594247117","https://openalex.org/W1660390307","https://openalex.org/W1822239915","https://openalex.org/W1853307972","https://openalex.org/W1911240979","https://openalex.org/W1963501922","https://openalex.org/W1964460209","https://openalex.org/W1964613733","https://openalex.org/W1975879668","https://openalex.org/W1982464493","https://openalex.org/W1982901817","https://openalex.org/W2014902591","https://openalex.org/W2022204871","https://openalex.org/W2023670705","https://openalex.org/W2047756776","https://openalex.org/W2062988874","https://openalex.org/W2063596712","https://openalex.org/W2082935746","https://openalex.org/W2101891738","https://openalex.org/W2114524997","https://openalex.org/W2115023510","https://openalex.org/W2124821580","https://openalex.org/W2126854223","https://openalex.org/W2137191349","https://openalex.org/W2139865360","https://openalex.org/W2141766660","https://openalex.org/W2148034183","https://openalex.org/W2150290224","https://openalex.org/W2158273554","https://openalex.org/W2160052288","https://openalex.org/W2160660844","https://openalex.org/W2164333613","https://openalex.org/W2164777277","https://openalex.org/W2166706824","https://openalex.org/W2242116903","https://openalex.org/W2251592867","https://openalex.org/W2251644290","https://openalex.org/W2325227998","https://openalex.org/W2337001356","https://openalex.org/W2594491032","https://openalex.org/W2708548069","https://openalex.org/W2962808042","https://openalex.org/W2963510128","https://openalex.org/W2964275331","https://openalex.org/W3123123052","https://openalex.org/W3217017905","https://openalex.org/W4205184193","https://openalex.org/W4211186029","https://openalex.org/W4233906183","https://openalex.org/W4245769868","https://openalex.org/W4248506559","https://openalex.org/W6630634595"],"related_works":["https://openalex.org/W2583250843","https://openalex.org/W4297017343","https://openalex.org/W3043497271","https://openalex.org/W4312821327","https://openalex.org/W2492257482","https://openalex.org/W3101645471","https://openalex.org/W3194965627","https://openalex.org/W4387891375","https://openalex.org/W4386552957","https://openalex.org/W2911228385"],"abstract_inverted_index":{"Student":[0],"recruitment":[1],"and":[2,9,18,64,68,87],"retention":[3],"heavily":[4],"depend":[5],"on":[6],"student":[7],"satisfaction":[8],"word":[10],"of":[11,23,52,71],"mouth":[12],"voiced":[13],"through":[14],"surveys,":[15],"social":[16],"media,":[17],"review":[19],"websites.":[20],"The":[21,37],"amount":[22],"online":[24],"reviews":[25],"makes":[26],"their":[27],"manual":[28],"analysis":[29,93],"intractable,":[30],"revealing":[31],"the":[32,40,50,61,72],"need":[33],"for":[34,47,77,80],"automated":[35],"approaches.":[36],"paper":[38],"presents":[39],"first":[41],"Serbian":[42],"language":[43],"corpus":[44,73],"manually":[45],"annotated":[46],"opinions":[48],"in":[49],"domain":[51],"higher":[53],"education.":[54],"Agreement":[55],"among":[56],"annotators":[57],"was":[58],"calculated":[59],"using":[60],"Fleiss\u2019":[62],"kappa":[63],"agr":[65],"metrics.":[66],"Statistical":[67],"linguistic":[69],"analyses":[70],"revealed":[74],"information":[75],"useful":[76],"hand-crafted":[78],"rules":[79],"sentiment":[81,92],"analysis.":[82],"Using":[83],"developed":[84],"corpus,":[85],"dictionary-":[86],"machine":[88],"learning-based":[89],"approaches":[90],"to":[91],"are":[94],"benchmarked.":[95],"Both":[96],"exhibit":[97],"high":[98],"performance.":[99]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":9},{"year":2021,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
