{"id":"https://openalex.org/W4387251666","doi":"https://doi.org/10.1109/ccis59572.2023.10263002","title":"Sentiment Classification Based on RoBERTa and Data Augmentation","display_name":"Sentiment Classification Based on RoBERTa and Data Augmentation","publication_year":2023,"publication_date":"2023-08-12","ids":{"openalex":"https://openalex.org/W4387251666","doi":"https://doi.org/10.1109/ccis59572.2023.10263002"},"language":"en","primary_location":{"id":"doi:10.1109/ccis59572.2023.10263002","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ccis59572.2023.10263002","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE 9th International Conference on Cloud Computing and Intelligent Systems (CCIS)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5100442802","display_name":"Xiaoyi Wang","orcid":"https://orcid.org/0000-0003-2140-6782"},"institutions":[{"id":"https://openalex.org/I96852419","display_name":"Capital Normal University","ror":"https://ror.org/005edt527","country_code":"CN","type":"education","lineage":["https://openalex.org/I96852419"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoyi Wang","raw_affiliation_strings":["Capital Normal University,School of Literature,Beijing,China,100048","China Language Intelligence Research Center, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Capital Normal University,School of Literature,Beijing,China,100048","institution_ids":["https://openalex.org/I96852419"]},{"raw_affiliation_string":"China Language Intelligence Research Center, Beijing, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000877046","display_name":"Siyuan Xue","orcid":"https://orcid.org/0000-0002-6367-0955"},"institutions":[{"id":"https://openalex.org/I96852419","display_name":"Capital Normal University","ror":"https://ror.org/005edt527","country_code":"CN","type":"education","lineage":["https://openalex.org/I96852419"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Siyuan Xue","raw_affiliation_strings":["Capital Normal University,School of Literature,Beijing,China,100048","China Language Intelligence Research Center, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Capital Normal University,School of Literature,Beijing,China,100048","institution_ids":["https://openalex.org/I96852419"]},{"raw_affiliation_string":"China Language Intelligence Research Center, Beijing, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100731156","display_name":"Jie Liu","orcid":"https://orcid.org/0000-0001-5953-4566"},"institutions":[{"id":"https://openalex.org/I1456306","display_name":"North China University of Technology","ror":"https://ror.org/01nky7652","country_code":"CN","type":"education","lineage":["https://openalex.org/I1456306"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jie Liu","raw_affiliation_strings":["China Language Intelligence Research Center,Beijing,China,100048","School of Information Science, North China University of Technology, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"China Language Intelligence Research Center,Beijing,China,100048","institution_ids":[]},{"raw_affiliation_string":"School of Information Science, North China University of Technology, Beijing, China","institution_ids":["https://openalex.org/I1456306"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042786812","display_name":"Jing Zhang","orcid":"https://orcid.org/0000-0002-9610-5821"},"institutions":[{"id":"https://openalex.org/I96852419","display_name":"Capital Normal University","ror":"https://ror.org/005edt527","country_code":"CN","type":"education","lineage":["https://openalex.org/I96852419"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jing Zhang","raw_affiliation_strings":["Capital Normal University,School of Literature,Beijing,China,100048","China Language Intelligence Research Center, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Capital Normal University,School of Literature,Beijing,China,100048","institution_ids":["https://openalex.org/I96852419"]},{"raw_affiliation_string":"China Language Intelligence Research Center, Beijing, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100769830","display_name":"Jincheng Wang","orcid":"https://orcid.org/0000-0001-9345-2388"},"institutions":[{"id":"https://openalex.org/I202334528","display_name":"Beijing Electronic Science and Technology Institute","ror":"https://ror.org/01xdzh226","country_code":"CN","type":"education","lineage":["https://openalex.org/I202334528"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jincheng Wang","raw_affiliation_strings":["Beijing Institute of Control and Electronics Technology,Beijing,China,100038"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Institute of Control and Electronics Technology,Beijing,China,100038","institution_ids":["https://openalex.org/I202334528"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5109583713","display_name":"Jianshe Zhou","orcid":"https://orcid.org/0000-0002-1109-3375"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jianshe Zhou","raw_affiliation_strings":["China Language Intelligence Research Center,Beijing,China,100048"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"China Language Intelligence Research Center,Beijing,China,100048","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"260","last_page":"264"},"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/T10028","display_name":"Topic Modeling","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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9976999759674072,"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/computer-science","display_name":"Computer science","score":0.8226150870323181},{"id":"https://openalex.org/keywords/sentiment-analysis","display_name":"Sentiment analysis","score":0.7720511555671692},{"id":"https://openalex.org/keywords/word-embedding","display_name":"Word embedding","score":0.723186731338501},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6603513956069946},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.6054543852806091},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.5904298424720764},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5632256865501404},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.5449565052986145},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.37243813276290894},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.09594380855560303}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8226150870323181},{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.7720511555671692},{"id":"https://openalex.org/C2777462759","wikidata":"https://www.wikidata.org/wiki/Q18395344","display_name":"Word embedding","level":3,"score":0.723186731338501},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6603513956069946},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.6054543852806091},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.5904298424720764},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5632256865501404},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.5449565052986145},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.37243813276290894},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.09594380855560303},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ccis59572.2023.10263002","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ccis59572.2023.10263002","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE 9th International Conference on Cloud Computing and Intelligent Systems (CCIS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.7599999904632568}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320337504","display_name":"Research and Development","ror":"https://ror.org/027s68j25"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W1832693441","https://openalex.org/W2064675550","https://openalex.org/W2401379394","https://openalex.org/W2562607067","https://openalex.org/W2746802549","https://openalex.org/W2965373594","https://openalex.org/W3021636956","https://openalex.org/W3102725307","https://openalex.org/W3119160044","https://openalex.org/W3163841364","https://openalex.org/W6766673545"],"related_works":["https://openalex.org/W947140380","https://openalex.org/W3186997021","https://openalex.org/W4200618314","https://openalex.org/W4308088897","https://openalex.org/W4286432911","https://openalex.org/W4230884544","https://openalex.org/W4245453790","https://openalex.org/W3194985222","https://openalex.org/W3216571906","https://openalex.org/W4214830338"],"abstract_inverted_index":{"Sentiment":[0],"analysis":[1],"is":[2],"one":[3],"of":[4,35,54,68,86,109,120],"the":[5,16,33,50,66,73,80,84,93,104,118,121],"hot":[6],"research":[7],"topics":[8],"in":[9,20,72],"natural":[10],"language":[11],"processing,":[12],"aiming":[13],"to":[14,42,47,83,102],"analyze":[15],"subjective":[17],"sentiment":[18,28,89,122],"expressed":[19],"text":[21],"through":[22],"inductive":[23],"reasoning.":[24],"Common":[25],"deep":[26],"learning-based":[27],"classification":[29,90,123],"models":[30],"often":[31],"require":[32],"integration":[34],"word":[36,44],"embedding":[37],"techniques.":[38],"However,":[39],"conventional":[40],"approaches":[41],"generating":[43],"embeddings":[45],"struggle":[46],"effectively":[48],"capture":[49,67],"bidirectional":[51],"semantic":[52],"features":[53,71],"text.":[55,74],"RoBERTa,":[56],"with":[57,128],"its":[58],"unique":[59],"attention":[60],"mechanism":[61],"and":[62,91],"masked":[63],"technique,":[64],"enables":[65],"more":[69],"comprehensive":[70],"In":[75],"this":[76],"paper,":[77],"we":[78,116],"introduce":[79],"RoBERTa":[81,127],"model":[82,124],"task":[85],"Chinese":[87],"comments":[88],"address":[92],"limited":[94],"data":[95,99,129],"issue":[96],"by":[97],"employing":[98],"augmentation":[100,130],"methods":[101],"expand":[103],"dataset.":[105],"Through":[106],"a":[107],"series":[108],"experiments":[110],"conducted":[111],"on":[112],"three":[113],"different":[114],"datasets,":[115],"demonstrate":[117],"effectiveness":[119],"that":[125],"combines":[126],"methods.":[131]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
