{"id":"https://openalex.org/W2996450908","doi":"https://doi.org/10.1145/3368926.3369675","title":"Vietnamese Sentiment Analysis for Hotel Review based on Overfitting Training and Ensemble Learning","display_name":"Vietnamese Sentiment Analysis for Hotel Review based on Overfitting Training and Ensemble Learning","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2996450908","doi":"https://doi.org/10.1145/3368926.3369675","mag":"2996450908"},"language":"en","primary_location":{"id":"doi:10.1145/3368926.3369675","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3368926.3369675","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Tenth International Symposium on Information and Communication Technology  - SoICT 2019","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/A5090040181","display_name":"Thuy Nguyen-Thanh","orcid":null},"institutions":[{"id":"https://openalex.org/I3129492623","display_name":"University of Da Nang","ror":"https://ror.org/03ecpp171","country_code":"VN","type":"education","lineage":["https://openalex.org/I3129492623"]}],"countries":["VN"],"is_corresponding":true,"raw_author_name":"Thuy Nguyen-Thanh","raw_affiliation_strings":["Teaching and Research Team for Business Intelligence (BIT), Danang University of Economics, The University of Danang, Danang, Vietnam"],"affiliations":[{"raw_affiliation_string":"Teaching and Research Team for Business Intelligence (BIT), Danang University of Economics, The University of Danang, Danang, Vietnam","institution_ids":["https://openalex.org/I3129492623"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5032227988","display_name":"Giang T.C. Tran","orcid":null},"institutions":[{"id":"https://openalex.org/I3129492623","display_name":"University of Da Nang","ror":"https://ror.org/03ecpp171","country_code":"VN","type":"education","lineage":["https://openalex.org/I3129492623"]}],"countries":["VN"],"is_corresponding":false,"raw_author_name":"Giang T.C. Tran","raw_affiliation_strings":["Teaching and Research Team for Business Intelligence (BIT), Danang University of Economics, The University of Danang, Danang, Vietnam"],"affiliations":[{"raw_affiliation_string":"Teaching and Research Team for Business Intelligence (BIT), Danang University of Economics, The University of Danang, Danang, Vietnam","institution_ids":["https://openalex.org/I3129492623"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5090040181"],"corresponding_institution_ids":["https://openalex.org/I3129492623"],"apc_list":null,"apc_paid":null,"fwci":0.8401,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.81054173,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"147","last_page":"153"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9997000098228455,"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":0.9997000098228455,"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":0.9959999918937683,"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/T11326","display_name":"Stock Market Forecasting Methods","score":0.9900000095367432,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/overfitting","display_name":"Overfitting","score":0.9091752767562866},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7709460854530334},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.684662938117981},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6154108643531799},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.5501617789268494},{"id":"https://openalex.org/keywords/vietnamese","display_name":"Vietnamese","score":0.5424495339393616},{"id":"https://openalex.org/keywords/sentiment-analysis","display_name":"Sentiment analysis","score":0.5027611255645752},{"id":"https://openalex.org/keywords/ensemble-learning","display_name":"Ensemble learning","score":0.4917614758014679},{"id":"https://openalex.org/keywords/data-pre-processing","display_name":"Data pre-processing","score":0.44525909423828125},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.42899852991104126},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.08205893635749817}],"concepts":[{"id":"https://openalex.org/C22019652","wikidata":"https://www.wikidata.org/wiki/Q331309","display_name":"Overfitting","level":3,"score":0.9091752767562866},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7709460854530334},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.684662938117981},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6154108643531799},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.5501617789268494},{"id":"https://openalex.org/C103621254","wikidata":"https://www.wikidata.org/wiki/Q9199","display_name":"Vietnamese","level":2,"score":0.5424495339393616},{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.5027611255645752},{"id":"https://openalex.org/C45942800","wikidata":"https://www.wikidata.org/wiki/Q245652","display_name":"Ensemble learning","level":2,"score":0.4917614758014679},{"id":"https://openalex.org/C10551718","wikidata":"https://www.wikidata.org/wiki/Q5227332","display_name":"Data pre-processing","level":2,"score":0.44525909423828125},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.42899852991104126},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.08205893635749817},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","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:10.1145/3368926.3369675","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3368926.3369675","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Tenth International Symposium on Information and Communication Technology  - SoICT 2019","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":11,"referenced_works":["https://openalex.org/W2049434052","https://openalex.org/W2120400822","https://openalex.org/W2146338426","https://openalex.org/W2153635508","https://openalex.org/W2752704794","https://openalex.org/W2792883466","https://openalex.org/W2795058781","https://openalex.org/W2909015087","https://openalex.org/W2925185517","https://openalex.org/W2951278869","https://openalex.org/W2959250831"],"related_works":["https://openalex.org/W1574414179","https://openalex.org/W4362597605","https://openalex.org/W3009056573","https://openalex.org/W2922073769","https://openalex.org/W4297676672","https://openalex.org/W4281702477","https://openalex.org/W1038900426","https://openalex.org/W1557144543","https://openalex.org/W2098215860","https://openalex.org/W2132308729"],"abstract_inverted_index":{"In":[0,31],"this":[1],"study,":[2],"we":[3],"propose":[4],"a":[5,23,26,29],"machine":[6,89],"learning":[7,90],"model":[8,80],"in":[9],"analyzing":[10],"customer":[11],"opinions":[12],"based":[13],"on":[14,36],"Vietnamese":[15],"text:":[16],"the":[17,71,93],"case":[18],"of":[19],"hotel":[20],"service,":[21],"classifying":[22],"review":[24],"as":[25],"positive":[27],"or":[28],"negative.":[30],"particular,":[32],"our":[33],"solution":[34],"focuses":[35],"improvement:":[37],"preprocessing,":[38],"standardization,":[39],"training":[40,48],"data":[41,49,99],"relabelling":[42],"with":[43,52],"Error":[44],"Analysis":[45],"method.":[46],"Besides,":[47],"is":[50,76,100],"enhanced":[51],"emotional":[53],"dictionary;":[54],"5-Fold":[55],"Cross":[56],"Validation":[57],"and":[58,66,68],"Confusion":[59],"Matrix":[60],"are":[61,84],"used":[62,77,85],"to":[63,69,78,86],"control":[64],"overfitting":[65],"underfitting":[67],"test":[70],"model;":[72],"Hyperparameter":[73],"Tuning":[74],"method":[75],"optimize":[79],"parameters;":[81],"Ensemble":[82],"Methods":[83],"combine":[87],"several":[88],"techniques":[91],"into":[92],"most":[94],"efficient":[95],"predictive":[96],"model.":[97],"Used":[98],"collected":[101],"from":[102],"website":[103],"booking.com.":[104]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}