{"id":"https://openalex.org/W4394870838","doi":"https://doi.org/10.1145/3650400.3650451","title":"Application of NoisyTune on Sentiment Analysis of BERT Model","display_name":"Application of NoisyTune on Sentiment Analysis of BERT Model","publication_year":2023,"publication_date":"2023-10-20","ids":{"openalex":"https://openalex.org/W4394870838","doi":"https://doi.org/10.1145/3650400.3650451"},"language":"en","primary_location":{"id":"doi:10.1145/3650400.3650451","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3650400.3650451","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3650400.3650451","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 7th International Conference on Electronic Information Technology and Computer Engineering","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3650400.3650451","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5010857019","display_name":"Yuan Guo","orcid":"https://orcid.org/0009-0009-4101-228X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yuan Guo","raw_affiliation_strings":["College of Computing and Information Technologies, National University, Philippine"],"raw_orcid":"https://orcid.org/0009-0009-4101-228X","affiliations":[{"raw_affiliation_string":"College of Computing and Information Technologies, National University, Philippine","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5006665412","display_name":"Vladimir Y. Mariano","orcid":"https://orcid.org/0009-0002-3444-3195"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Vladimir Y. Mariano","raw_affiliation_strings":["College of Computing and Information Technologies, National University, Philippine"],"raw_orcid":"https://orcid.org/0009-0002-3444-3195","affiliations":[{"raw_affiliation_string":"College of Computing and Information Technologies, National University, Philippine","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.26644642,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"318","last_page":"322"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","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/T10028","display_name":"Topic Modeling","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/T10181","display_name":"Natural Language Processing Techniques","score":0.9987000226974487,"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":0.9955999851226807,"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/word2vec","display_name":"Word2vec","score":0.8454370498657227},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8394265174865723},{"id":"https://openalex.org/keywords/sentiment-analysis","display_name":"Sentiment analysis","score":0.7535974979400635},{"id":"https://openalex.org/keywords/python","display_name":"Python (programming language)","score":0.753176212310791},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5775312185287476},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5255443453788757},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.5002446174621582},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4360499680042267},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4259580075740814},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.41559404134750366},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.4149266183376312},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.3570176362991333},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.0886448323726654},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.08255112171173096}],"concepts":[{"id":"https://openalex.org/C2776461190","wikidata":"https://www.wikidata.org/wiki/Q22673982","display_name":"Word2vec","level":3,"score":0.8454370498657227},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8394265174865723},{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.7535974979400635},{"id":"https://openalex.org/C519991488","wikidata":"https://www.wikidata.org/wiki/Q28865","display_name":"Python (programming language)","level":2,"score":0.753176212310791},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5775312185287476},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5255443453788757},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.5002446174621582},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4360499680042267},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4259580075740814},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.41559404134750366},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.4149266183376312},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3570176362991333},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0886448323726654},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.08255112171173096},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3650400.3650451","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3650400.3650451","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3650400.3650451","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 7th International Conference on Electronic Information Technology and Computer Engineering","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3650400.3650451","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3650400.3650451","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3650400.3650451","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 7th International Conference on Electronic Information Technology and Computer Engineering","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4394870838.pdf","grobid_xml":"https://content.openalex.org/works/W4394870838.grobid-xml"},"referenced_works_count":6,"referenced_works":["https://openalex.org/W2963270153","https://openalex.org/W2963341956","https://openalex.org/W2971296520","https://openalex.org/W3118411386","https://openalex.org/W3118913631","https://openalex.org/W4225691633"],"related_works":["https://openalex.org/W2980729574","https://openalex.org/W1560851690","https://openalex.org/W3092047717","https://openalex.org/W4390881630","https://openalex.org/W2770162183","https://openalex.org/W3003606604","https://openalex.org/W2795129682","https://openalex.org/W3040974839","https://openalex.org/W4285322112","https://openalex.org/W4292794239"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"the":[3,22,35,41,58,66,90],"online":[4],"comment":[5],"data":[6,23,42,61],"of":[7,11,16,38,60,68,92],"Python":[8],"Programming":[9],"course":[10],"Open":[12],"Online":[13],"Course":[14],"Network":[15],"Chinese":[17],"University":[18],"is":[19,25,44,51],"collected,":[20],"and":[21,47,49],"set":[24,43],"preprocessed":[26],"by":[27],"Word2vec":[28],"training.":[29],"By":[30],"applying":[31],"NoisyTune":[32,74],"mechanism":[33,75],"in":[34,96],"fine-tuning":[36],"task":[37],"BERT":[39],"model,":[40],"trained,":[45],"validated":[46],"tested,":[48],"it":[50],"verified":[52],"that":[53],"increasing":[54],"noise":[55],"can":[56,76],"improve":[57],"Accuracy":[59,67],"analysis,":[62],"thus":[63],"further":[64],"improving":[65],"emotional":[69],"tendency":[70],"classification.":[71],"Through":[72],"experiments,":[73],"also":[77],"be":[78],"applied":[79],"to":[80],"other":[81,97],"pre-training":[82],"language":[83],"models,":[84],"which":[85],"provides":[86],"theoretical":[87],"basis":[88],"for":[89],"research":[91],"text":[93],"Sentiment":[94],"Analysis":[95],"fields.":[98]},"counts_by_year":[],"updated_date":"2026-07-31T08:31:51.225901","created_date":"2025-10-10T00:00:00"}