{"id":"https://openalex.org/W3129065592","doi":"https://doi.org/10.1145/3443279.3443282","title":"Sentiment Analysis for Review Rating Prediction in a Travel Journal","display_name":"Sentiment Analysis for Review Rating Prediction in a Travel Journal","publication_year":2020,"publication_date":"2020-12-18","ids":{"openalex":"https://openalex.org/W3129065592","doi":"https://doi.org/10.1145/3443279.3443282","mag":"3129065592"},"language":"en","primary_location":{"id":"doi:10.1145/3443279.3443282","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3443279.3443282","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 4th International Conference on Natural Language Processing and Information Retrieval","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/A5047658434","display_name":"Jovelyn C. Cuizon","orcid":"https://orcid.org/0000-0002-1990-7943"},"institutions":[{"id":"https://openalex.org/I102822971","display_name":"University of San Jose\u2013Recoletos","ror":"https://ror.org/04jmbkr13","country_code":"PH","type":"education","lineage":["https://openalex.org/I102822971"]}],"countries":["PH"],"is_corresponding":true,"raw_author_name":"Jovelyn C. Cuizon","raw_affiliation_strings":["University of San Jose - Recoletos, St. Ezekiel Moreno, Basak, Cebu City, Cebu, Philippines"],"affiliations":[{"raw_affiliation_string":"University of San Jose - Recoletos, St. Ezekiel Moreno, Basak, Cebu City, Cebu, Philippines","institution_ids":["https://openalex.org/I102822971"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5028959530","display_name":"Carlos Giovanni Agravante","orcid":null},"institutions":[{"id":"https://openalex.org/I102822971","display_name":"University of San Jose\u2013Recoletos","ror":"https://ror.org/04jmbkr13","country_code":"PH","type":"education","lineage":["https://openalex.org/I102822971"]}],"countries":["PH"],"is_corresponding":false,"raw_author_name":"Carlos Giovanni Agravante","raw_affiliation_strings":["University of San Jose - Recoletos, Camella Homes, Lapu-Lapu City, Cebu, Philippines"],"affiliations":[{"raw_affiliation_string":"University of San Jose - Recoletos, Camella Homes, Lapu-Lapu City, Cebu, Philippines","institution_ids":["https://openalex.org/I102822971"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5047658434"],"corresponding_institution_ids":["https://openalex.org/I102822971"],"apc_list":null,"apc_paid":null,"fwci":0.5302,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.74206148,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"9","issue":null,"first_page":"70","last_page":"74"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9987999796867371,"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"}},{"id":"https://openalex.org/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9955000281333923,"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/natural-language-processing","display_name":"Natural language processing","score":0.7448248863220215},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7203811407089233},{"id":"https://openalex.org/keywords/sentiment-analysis","display_name":"Sentiment analysis","score":0.7070059776306152},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6874488592147827},{"id":"https://openalex.org/keywords/wordnet","display_name":"WordNet","score":0.686839759349823},{"id":"https://openalex.org/keywords/noun","display_name":"Noun","score":0.5825431942939758},{"id":"https://openalex.org/keywords/dependency-grammar","display_name":"Dependency grammar","score":0.5355598330497742},{"id":"https://openalex.org/keywords/adjective","display_name":"Adjective","score":0.476202130317688},{"id":"https://openalex.org/keywords/automatic-summarization","display_name":"Automatic summarization","score":0.4469984471797943},{"id":"https://openalex.org/keywords/chunking","display_name":"Chunking (psychology)","score":0.43771296739578247},{"id":"https://openalex.org/keywords/sentence","display_name":"Sentence","score":0.4308181405067444},{"id":"https://openalex.org/keywords/noun-phrase","display_name":"Noun phrase","score":0.416364848613739},{"id":"https://openalex.org/keywords/verb","display_name":"Verb","score":0.4161650836467743},{"id":"https://openalex.org/keywords/parsing","display_name":"Parsing","score":0.40751805901527405},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3740178346633911},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.32623791694641113}],"concepts":[{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.7448248863220215},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7203811407089233},{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.7070059776306152},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6874488592147827},{"id":"https://openalex.org/C157659113","wikidata":"https://www.wikidata.org/wiki/Q533822","display_name":"WordNet","level":2,"score":0.686839759349823},{"id":"https://openalex.org/C121934690","wikidata":"https://www.wikidata.org/wiki/Q1084","display_name":"Noun","level":2,"score":0.5825431942939758},{"id":"https://openalex.org/C164883195","wikidata":"https://www.wikidata.org/wiki/Q674834","display_name":"Dependency grammar","level":3,"score":0.5355598330497742},{"id":"https://openalex.org/C2777683214","wikidata":"https://www.wikidata.org/wiki/Q34698","display_name":"Adjective","level":3,"score":0.476202130317688},{"id":"https://openalex.org/C170858558","wikidata":"https://www.wikidata.org/wiki/Q1394144","display_name":"Automatic summarization","level":2,"score":0.4469984471797943},{"id":"https://openalex.org/C203357204","wikidata":"https://www.wikidata.org/wiki/Q1089605","display_name":"Chunking (psychology)","level":2,"score":0.43771296739578247},{"id":"https://openalex.org/C2777530160","wikidata":"https://www.wikidata.org/wiki/Q41796","display_name":"Sentence","level":2,"score":0.4308181405067444},{"id":"https://openalex.org/C153962237","wikidata":"https://www.wikidata.org/wiki/Q1401131","display_name":"Noun phrase","level":3,"score":0.416364848613739},{"id":"https://openalex.org/C2776397901","wikidata":"https://www.wikidata.org/wiki/Q24905","display_name":"Verb","level":2,"score":0.4161650836467743},{"id":"https://openalex.org/C186644900","wikidata":"https://www.wikidata.org/wiki/Q194152","display_name":"Parsing","level":2,"score":0.40751805901527405},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3740178346633911},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.32623791694641113},{"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:10.1145/3443279.3443282","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3443279.3443282","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 4th International Conference on Natural Language Processing and Information Retrieval","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W3851596","https://openalex.org/W38739846","https://openalex.org/W1526460642","https://openalex.org/W1605341627","https://openalex.org/W2101837219","https://openalex.org/W2108493453","https://openalex.org/W2137981452","https://openalex.org/W2217066517","https://openalex.org/W2252045667","https://openalex.org/W2293633461","https://openalex.org/W2604382957","https://openalex.org/W2736747348","https://openalex.org/W2746078932","https://openalex.org/W2751087458","https://openalex.org/W2896163943","https://openalex.org/W3106385359"],"related_works":["https://openalex.org/W2095692945","https://openalex.org/W4236833069","https://openalex.org/W2135991045","https://openalex.org/W4297795319","https://openalex.org/W2334084190","https://openalex.org/W2969046387","https://openalex.org/W4288264619","https://openalex.org/W1591341683","https://openalex.org/W2995946603","https://openalex.org/W3102012802"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"sentiment":[3,118],"analysis":[4],"to":[5,22,44,62,82,98,122,156,184],"predict":[6],"numerical":[7],"rating":[8,137,144,163,175,180,192],"of":[9,64,108,130,187],"text":[10,26,159,189],"reviews":[11,27,33],"in":[12,48,90,145],"a":[13,78,114],"web-based":[14],"travel":[15],"journal":[16],"application.":[17],"The":[18,133,161],"application":[19],"allows":[20],"users":[21],"record":[23],"and":[24,41,50,71,148,173],"provide":[25],"on":[28],"tourist":[29,72],"spots":[30],"visited.":[31],"Text":[32],"undergo":[34],"parts-of-speech":[35],"(POS)":[36],"tagging,":[37],"rule-based":[38],"phrase":[39],"chunking":[40],"dependency":[42],"parsing":[43],"extract":[45],"opinion":[46],"phrases":[47],"noun-adjective":[49],"noun-verb":[51],"pairs":[52],"from":[53],"the":[54,65,75,91,101,106,109,127,131,141,158,171,179,188],"original":[55],"text.":[56],"Each":[57],"pair":[58],"is":[59,96,182,195],"further":[60],"classified":[61],"one":[63],"four":[66],"categories:":[67],"accommodation,":[68],"food,":[69],"entertainment":[70],"attraction":[73],"using":[74,111],"noun":[76],"against":[77],"curated":[79],"bag-of-words":[80],"(BOW)":[81],"ensure":[83],"that":[84,104,178],"only":[85],"relevant":[86],"statements":[87],"are":[88,154],"included":[89],"scoring.":[92],"Word":[93],"Sense":[94],"Disambiguation":[95],"performed":[97],"correctly":[99],"identify":[100],"word":[102],"sense":[103],"matches":[105],"meaning":[107],"sentence":[110],"WordNet.":[112],"SentiWordNet,":[113],"lexical":[115],"resource":[116],"for":[117],"analysis,":[119],"was":[120,138],"used":[121],"determine":[123],"polarity":[124],"score":[125],"representing":[126],"emotional":[128],"intensity":[129],"review.":[132],"system":[134,172],"predicted":[135,162,181],"star":[136],"compared":[139],"with":[140,149],"actual":[142],"author":[143],"Google":[146],"Maps":[147],"human":[150,174,185],"annotator":[151],"ratings":[152],"who":[153],"asked":[155],"label":[157],"reviews.":[160,190],"scored":[164],"low":[165],"mean":[166],"absolute":[167],"error":[168],"(MAE)":[169],"between":[170],"which":[176],"means":[177],"closer":[183],"interpretation":[186],"Overall":[191],"prediction":[193],"accuracy":[194],"82%.":[196]},"counts_by_year":[{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}