{"id":"https://openalex.org/W4394870801","doi":"https://doi.org/10.1145/3650400.3650450","title":"Sentiment Analysis of Chinese Comment Text Based on CNN-BiGRU-ATTENTION","display_name":"Sentiment Analysis of Chinese Comment Text Based on CNN-BiGRU-ATTENTION","publication_year":2023,"publication_date":"2023-10-20","ids":{"openalex":"https://openalex.org/W4394870801","doi":"https://doi.org/10.1145/3650400.3650450"},"language":"en","primary_location":{"id":"doi:10.1145/3650400.3650450","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3650400.3650450","pdf_url":null,"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":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5051782655","display_name":"Hongmei Li","orcid":"https://orcid.org/0000-0003-2758-0802"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hongmei Li","raw_affiliation_strings":["College of Computing and Information Technologies, National University, Philippine"],"raw_orcid":"https://orcid.org/0000-0003-2758-0802","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":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"312","last_page":"317"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9987000226974487,"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"}},"topics":[{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","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/T12016","display_name":"Web Data Mining and Analysis","score":0.9203000068664551,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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":0.9186999797821045,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/softmax-function","display_name":"Softmax function","score":0.9050110578536987},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7100592851638794},{"id":"https://openalex.org/keywords/sentiment-analysis","display_name":"Sentiment analysis","score":0.6094778776168823},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5829553008079529},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5744192600250244},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5464826822280884},{"id":"https://openalex.org/keywords/layer","display_name":"Layer (electronics)","score":0.46854957938194275},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.4303285479545593},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.42078229784965515},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.3758297562599182},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.07176956534385681}],"concepts":[{"id":"https://openalex.org/C188441871","wikidata":"https://www.wikidata.org/wiki/Q7554146","display_name":"Softmax function","level":3,"score":0.9050110578536987},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7100592851638794},{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.6094778776168823},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5829553008079529},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5744192600250244},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5464826822280884},{"id":"https://openalex.org/C2779227376","wikidata":"https://www.wikidata.org/wiki/Q6505497","display_name":"Layer (electronics)","level":2,"score":0.46854957938194275},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.4303285479545593},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.42078229784965515},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3758297562599182},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.07176956534385681},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3650400.3650450","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3650400.3650450","pdf_url":null,"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":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W2803650874","https://openalex.org/W2835521938","https://openalex.org/W2883853499","https://openalex.org/W2947436733","https://openalex.org/W2973823462","https://openalex.org/W2992941683","https://openalex.org/W3003618396","https://openalex.org/W3015762177","https://openalex.org/W3102853424","https://openalex.org/W3131269036","https://openalex.org/W3172031468","https://openalex.org/W4240935049"],"related_works":["https://openalex.org/W3107204728","https://openalex.org/W4287591324","https://openalex.org/W3108503355","https://openalex.org/W4226420367","https://openalex.org/W2962876041","https://openalex.org/W3090555870","https://openalex.org/W2899027234","https://openalex.org/W3095506574","https://openalex.org/W3190449293","https://openalex.org/W2997424368"],"abstract_inverted_index":{"Sentiment":[0],"analysis":[1,48],"for":[2,16,46],"Chinese":[3,50],"comment":[4,31,51],"data":[5,32],"is":[6],"a":[7],"hot":[8],"research":[9],"topic":[10],"today,":[11],"and":[12,26,41,58,61,103],"has":[13,94],"significant":[14],"implications":[15],"various":[17],"fields":[18],"of":[19,36,49,75],"social":[20],"life":[21],"such":[22],"as":[23],"business,":[24],"government,":[25],"education.":[27],"This":[28],"article":[29],"selects":[30],"from":[33],"10":[34],"categories":[35],"products,":[37],"integrates":[38],"attention":[39,69],"models,":[40],"proposes":[42],"the":[43,64,68,83,91],"CNN-BiGRU-ATTENTION":[44],"model":[45,93],"sentiment":[47],"data.":[52],"Extract":[53],"text":[54,76],"features":[55,66],"through":[56,82],"CNN":[57],"BiGRU":[59],"layers,":[60],"then":[62],"introduce":[63],"extracted":[65],"into":[67],"mechanism":[70],"to":[71,98],"complete":[72],"feature":[73],"extraction":[74],"information.":[77],"Finally,":[78],"obtain":[79],"classification":[80],"results":[81,88],"Softmax":[84],"layer.":[85],"The":[86],"experimental":[87],"show":[89],"that":[90],"proposed":[92],"improved":[95],"accuracy":[96],"compared":[97],"CNN,":[99],"Text-CNN,":[100],"GRU,":[101],"BiLSTM,":[102],"CNN-ATTENTION":[104],"models.":[105]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
