{"id":"https://openalex.org/W4394864345","doi":"https://doi.org/10.1145/3650215.3650260","title":"Leveraging Transformer Neural Networks for Enhanced Sentiment Analysis on Online Platform Comments","display_name":"Leveraging Transformer Neural Networks for Enhanced Sentiment Analysis on Online Platform Comments","publication_year":2023,"publication_date":"2023-10-27","ids":{"openalex":"https://openalex.org/W4394864345","doi":"https://doi.org/10.1145/3650215.3650260"},"language":"en","primary_location":{"id":"doi:10.1145/3650215.3650260","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3650215.3650260","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3650215.3650260","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 4th International Conference on Machine Learning and Computer Application","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/10.1145/3650215.3650260","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5102843085","display_name":"Jiayi Tang","orcid":"https://orcid.org/0009-0004-0009-3830"},"institutions":[{"id":"https://openalex.org/I2803209242","display_name":"University of California System","ror":"https://ror.org/00pjdza24","country_code":"US","type":"education","lineage":["https://openalex.org/I2803209242"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Jiayi Tang","raw_affiliation_strings":["University of California, United States"],"raw_orcid":"https://orcid.org/0009-0004-0009-3830","affiliations":[{"raw_affiliation_string":"University of California, United States","institution_ids":["https://openalex.org/I2803209242"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5102843085"],"corresponding_institution_ids":["https://openalex.org/I2803209242"],"apc_list":null,"apc_paid":null,"fwci":0.2178,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.52759555,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"256","last_page":"260"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":1.0,"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":1.0,"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":0.9980000257492065,"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":0.9941999912261963,"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/sentiment-analysis","display_name":"Sentiment analysis","score":0.7916595935821533},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7864037752151489},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6277468800544739},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.5860298871994019},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.5751772522926331},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5722935199737549},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.5630361437797546},{"id":"https://openalex.org/keywords/architecture","display_name":"Architecture","score":0.5284951329231262},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.49052852392196655},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.48700910806655884},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.46568670868873596},{"id":"https://openalex.org/keywords/position-paper","display_name":"Position paper","score":0.4372454285621643},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.17761120200157166},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.14706581830978394}],"concepts":[{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.7916595935821533},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7864037752151489},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6277468800544739},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.5860298871994019},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.5751772522926331},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5722935199737549},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5630361437797546},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.5284951329231262},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.49052852392196655},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.48700910806655884},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.46568670868873596},{"id":"https://openalex.org/C78780964","wikidata":"https://www.wikidata.org/wiki/Q7233193","display_name":"Position paper","level":2,"score":0.4372454285621643},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.17761120200157166},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.14706581830978394},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3650215.3650260","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3650215.3650260","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3650215.3650260","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 4th International Conference on Machine Learning and Computer Application","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3650215.3650260","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3650215.3650260","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3650215.3650260","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 4th International Conference on Machine Learning and Computer Application","raw_type":"proceedings-article"},"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9","score":0.4099999964237213}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4394864345.pdf"},"referenced_works_count":29,"referenced_works":["https://openalex.org/W810042281","https://openalex.org/W1988591476","https://openalex.org/W2012070465","https://openalex.org/W2019759670","https://openalex.org/W2346712328","https://openalex.org/W2401379394","https://openalex.org/W2413899610","https://openalex.org/W2518750284","https://openalex.org/W2565799927","https://openalex.org/W2586733088","https://openalex.org/W2606788537","https://openalex.org/W2615624292","https://openalex.org/W2792916349","https://openalex.org/W2801716390","https://openalex.org/W2830133505","https://openalex.org/W2914240631","https://openalex.org/W2914640497","https://openalex.org/W2941799245","https://openalex.org/W2950784811","https://openalex.org/W3020589325","https://openalex.org/W3023372699","https://openalex.org/W3041993934","https://openalex.org/W3045969489","https://openalex.org/W3093500626","https://openalex.org/W3191509948","https://openalex.org/W3195720575","https://openalex.org/W4200182268","https://openalex.org/W4308235916","https://openalex.org/W4385485122"],"related_works":["https://openalex.org/W3089396779","https://openalex.org/W2548633793","https://openalex.org/W3013279174","https://openalex.org/W2941935829","https://openalex.org/W2596247554","https://openalex.org/W4301373556","https://openalex.org/W3132372214","https://openalex.org/W4224284088","https://openalex.org/W4286571989","https://openalex.org/W2765903680"],"abstract_inverted_index":{"The":[0,129,158],"relentless":[1],"surge":[2],"in":[3,20,45,49,89,109,118,140,172,187,202,215],"the":[4,22,40,58,81,86,90,98,102,115,119,147,169,178,203,216],"volume":[5],"of":[6,34,53,92,101,161,181],"data":[7],"generated":[8],"across":[9],"online":[10,191],"platforms":[11],"necessitates":[12],"sophisticated":[13],"approaches":[14],"to":[15,113,168],"glean":[16],"actionable":[17],"insights,":[18],"particularly":[19],"discerning":[21],"sentiment":[23,93,155,174,213],"encased":[24],"within":[25],"user-generated":[26],"comments.":[27,193],"This":[28],"paper":[29],"presents":[30],"an":[31],"intricate":[32],"exploration":[33],"applying":[35],"deep":[36,184],"learning":[37,185],"technologies,":[38],"specifically":[39],"Transformer":[41,87,103],"neural":[42],"network":[43],"model,":[44,104],"classifying":[46],"sentiments":[47,117],"expressed":[48],"a":[50,137,151,165],"copious":[51],"corpus":[52],"1.6":[54],"million":[55],"tweets":[56],"from":[57,133],"Sentiment140":[59],"dataset.":[60],"Endeavoring":[61],"beyond":[62],"conventional":[63],"models":[64,186],"such":[65],"as":[66,124,150],"Support":[67],"Vector":[68],"Machines":[69],"(SVM)":[70],"and":[71,143,189,211],"Long":[72],"Short-Term":[73],"Memory":[74],"networks":[75],"(LSTM),":[76],"this":[77,134,162,195],"research":[78,163],"meticulously":[79],"evaluates":[80],"performance":[82],"enhancements":[83],"offered":[84],"by":[85],"architecture":[88,153],"realm":[91],"analysis.":[94],"Our":[95],"methodology":[96],"entails":[97],"comprehensive":[99],"utilization":[100],"renowned":[105],"for":[106,154,208],"its":[107],"prowess":[108],"handling":[110],"sequential":[111],"data,":[112],"unearth":[114],"underlying":[116],"tweets,":[120],"categorizing":[121],"them":[122],"aptly":[123],"positive,":[125],"neutral,":[126],"or":[127],"negative.":[128],"empirical":[130],"results":[131],"emanating":[132],"study":[135],"delineate":[136],"noteworthy":[138],"improvement":[139],"classification":[141],"accuracy":[142],"model":[144],"robustness,":[145],"solidifying":[146],"Transformer's":[148],"position":[149],"formidable":[152],"analysis":[156,175,214],"tasks.":[157],"enlightening":[159],"findings":[160],"offer":[164],"pivotal":[166],"contribution":[167],"continuous":[170],"efforts":[171],"augmenting":[173],"methodologies,":[176],"emphasizing":[177],"substantial":[179],"potentials":[180],"integrating":[182],"advanced":[183],"processing":[188],"analyzing":[190],"platform":[192],"Through":[194],"work,":[196],"we":[197],"envisage":[198],"fostering":[199],"innovative":[200],"advancements":[201],"field,":[204],"cultivating":[205],"enhanced":[206],"techniques":[207],"accurate,":[209],"efficient,":[210],"impactful":[212],"burgeoning":[217],"digital":[218],"landscapes.":[219]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
