{"id":"https://openalex.org/W2805988302","doi":"https://doi.org/10.1109/ictas.2018.8368746","title":"A framework for sentiment analysis with opinion mining of hotel reviews","display_name":"A framework for sentiment analysis with opinion mining of hotel reviews","publication_year":2018,"publication_date":"2018-03-01","ids":{"openalex":"https://openalex.org/W2805988302","doi":"https://doi.org/10.1109/ictas.2018.8368746","mag":"2805988302"},"language":"en","primary_location":{"id":"doi:10.1109/ictas.2018.8368746","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ictas.2018.8368746","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 Conference on Information Communications Technology and Society (ICTAS)","raw_type":"proceedings-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/A5061954442","display_name":"Kudakwashe Zvarevashe","orcid":"https://orcid.org/0000-0001-8426-1221"},"institutions":[{"id":"https://openalex.org/I177181097","display_name":"Durban University of Technology","ror":"https://ror.org/0303y7a51","country_code":"ZA","type":"education","lineage":["https://openalex.org/I177181097"]}],"countries":["ZA"],"is_corresponding":false,"raw_author_name":"Kudakwashe Zvarevashe","raw_affiliation_strings":["ICT and Society Research Group, Durban University of Technology, South Africa"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ICT and Society Research Group, Durban University of Technology, South Africa","institution_ids":["https://openalex.org/I177181097"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5050825757","display_name":"Oludayo O. Olugbara","orcid":"https://orcid.org/0000-0003-1633-7583"},"institutions":[{"id":"https://openalex.org/I177181097","display_name":"Durban University of Technology","ror":"https://ror.org/0303y7a51","country_code":"ZA","type":"education","lineage":["https://openalex.org/I177181097"]}],"countries":["ZA"],"is_corresponding":false,"raw_author_name":"Oludayo O. Olugbara","raw_affiliation_strings":["ICT and Society Research Group, Durban University of Technology, South Africa"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ICT and Society Research Group, Durban University of Technology, South Africa","institution_ids":["https://openalex.org/I177181097"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I177181097"],"apc_list":null,"apc_paid":null,"fwci":7.0972,"has_fulltext":false,"cited_by_count":100,"citation_normalized_percentile":{"value":0.97530749,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9968000054359436,"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/T10609","display_name":"Digital Marketing and Social Media","score":0.9883000254631042,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/sentiment-analysis","display_name":"Sentiment analysis","score":0.885266125202179},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8114372491836548},{"id":"https://openalex.org/keywords/naive-bayes-classifier","display_name":"Naive Bayes classifier","score":0.48963481187820435},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.48077744245529175},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4778037667274475},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4681895971298218},{"id":"https://openalex.org/keywords/categorization","display_name":"Categorization","score":0.4432031512260437},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.4397692084312439},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.4321347773075104},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.392055869102478},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3380984663963318},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3283769190311432},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.10011100769042969}],"concepts":[{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.885266125202179},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8114372491836548},{"id":"https://openalex.org/C52001869","wikidata":"https://www.wikidata.org/wiki/Q812530","display_name":"Naive Bayes classifier","level":3,"score":0.48963481187820435},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.48077744245529175},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4778037667274475},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4681895971298218},{"id":"https://openalex.org/C94124525","wikidata":"https://www.wikidata.org/wiki/Q912550","display_name":"Categorization","level":2,"score":0.4432031512260437},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4397692084312439},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.4321347773075104},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.392055869102478},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3380984663963318},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3283769190311432},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.10011100769042969},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ictas.2018.8368746","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ictas.2018.8368746","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 Conference on Information Communications Technology and Society (ICTAS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.44999998807907104,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1976719344","https://openalex.org/W2019759670","https://openalex.org/W2057988282","https://openalex.org/W2101420645","https://openalex.org/W2108646579","https://openalex.org/W2126854223","https://openalex.org/W2133990480","https://openalex.org/W2149167588","https://openalex.org/W2169818249","https://openalex.org/W2220660951","https://openalex.org/W2268505537","https://openalex.org/W2342475167","https://openalex.org/W2548006041","https://openalex.org/W2600278912","https://openalex.org/W3100724099","https://openalex.org/W4211186029","https://openalex.org/W4250860020"],"related_works":["https://openalex.org/W2165912799","https://openalex.org/W2735662278","https://openalex.org/W2382615723","https://openalex.org/W4311804456","https://openalex.org/W1987484445","https://openalex.org/W2623658258","https://openalex.org/W1969219540","https://openalex.org/W2143413548","https://openalex.org/W2370459448","https://openalex.org/W2105067402"],"abstract_inverted_index":{"The":[0,28,50,146],"rapid":[1],"increase":[2],"in":[3,41],"mountains":[4],"of":[5,12,31,56,82,89,99,167,205],"unstructured":[6],"textual":[7],"data":[8,33,107],"accompanied":[9],"by":[10],"proliferation":[11],"tools":[13],"to":[14,48,63,122,163,194],"analyse":[15],"them":[16],"has":[17],"opened":[18],"up":[19],"great":[20],"opportunities":[21],"and":[22,58,120,132,144,161,187],"challenges":[23],"for":[24,73,79,101,159,201],"text":[25,32,106],"mining":[26,78],"research.":[27],"automatic":[29],"labelling":[30,51],"is":[34,110,149],"hard":[35,121],"because":[36,124],"people":[37],"often":[38,116],"express":[39],"opinions":[40,133,166],"complex":[42],"ways":[43],"that":[44,134,153],"are":[45,92,115,126,135],"sometimes":[46],"difficult":[47],"comprehend.":[49],"process":[52],"involves":[53],"huge":[54],"amount":[55],"efforts":[57],"mislabelled":[59],"datasets":[60,88,114],"usually":[61],"lead":[62],"incorrect":[64],"decisions.":[65],"In":[66],"this":[67],"paper,":[68],"we":[69],"design":[70],"a":[71,97,156,196],"framework":[72,148],"sentiment":[74,113,151,157],"analysis":[75,174],"with":[76,138,177],"opinion":[77],"the":[80,202,206],"case":[81],"hotel":[83,90,168],"customer":[84],"feedback.":[85],"Most":[86],"available":[87],"reviews":[91],"not":[93],"labelled":[94],"which":[95],"presents":[96],"lot":[98],"works":[100],"researchers":[102],"as":[103,105,129],"far":[104],"pre-processing":[108],"task":[109],"concerned.":[111],"Moreover,":[112],"highly":[117],"domain":[118],"sensitive":[119],"create":[123],"sentiments":[125],"feelings":[127],"such":[128],"emotions,":[130],"attitudes":[131],"commonly":[136],"rife":[137],"idioms,":[139],"onomatopoeias,":[140],"homophones,":[141],"phonemes,":[142],"alliterations":[143],"acronyms.":[145],"proposed":[147],"termed":[150],"polarity":[152],"automatically":[154],"prepares":[155],"dataset":[158],"training":[160],"testing":[162],"extract":[164],"unbiased":[165],"services":[169],"from":[170],"reviews.":[171],"A":[172],"comparative":[173],"was":[175],"established":[176],"Na\u00efve":[178,185],"Bayes":[179,186],"multinomial,":[180],"sequential":[181],"minimal":[182],"optimization,":[183],"compliment":[184],"Composite":[188],"hypercubes":[189],"on":[190],"iterated":[191],"random":[192],"projections":[193],"discover":[195],"suitable":[197],"machine":[198],"learning":[199],"algorithm":[200],"classification":[203],"component":[204],"framework.":[207]},"counts_by_year":[{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":11},{"year":2023,"cited_by_count":17},{"year":2022,"cited_by_count":23},{"year":2021,"cited_by_count":20},{"year":2020,"cited_by_count":13},{"year":2019,"cited_by_count":6},{"year":2018,"cited_by_count":3}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}
