{"id":"https://openalex.org/W4390777340","doi":"https://doi.org/10.1145/3603273.3635239","title":"Sentiment Orientation Analysis of Micro-lecture Comments Based on MacBERT-BiGRU Model","display_name":"Sentiment Orientation Analysis of Micro-lecture Comments Based on MacBERT-BiGRU Model","publication_year":2023,"publication_date":"2023-11-18","ids":{"openalex":"https://openalex.org/W4390777340","doi":"https://doi.org/10.1145/3603273.3635239"},"language":"en","primary_location":{"id":"doi:10.1145/3603273.3635239","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3603273.3635239","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 International Conference on Advances in Artificial Intelligence and Applications","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/A5089992902","display_name":"Ruirui Sun","orcid":"https://orcid.org/0009-0005-1299-1926"},"institutions":[{"id":"https://openalex.org/I1334729051","display_name":"Xinjiang Normal University","ror":"https://ror.org/00ndrvk93","country_code":"CN","type":"education","lineage":["https://openalex.org/I1334729051"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Ruirui Sun","raw_affiliation_strings":["Xinjiang Normal University, China"],"raw_orcid":"https://orcid.org/0009-0005-1299-1926","affiliations":[{"raw_affiliation_string":"Xinjiang Normal University, China","institution_ids":["https://openalex.org/I1334729051"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033683260","display_name":"Peng Cheng","orcid":"https://orcid.org/0000-0003-0619-2771"},"institutions":[{"id":"https://openalex.org/I1334729051","display_name":"Xinjiang Normal University","ror":"https://ror.org/00ndrvk93","country_code":"CN","type":"education","lineage":["https://openalex.org/I1334729051"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Cheng Peng","raw_affiliation_strings":["Xinjiang Normal University, China"],"raw_orcid":"https://orcid.org/0000-0003-0619-2771","affiliations":[{"raw_affiliation_string":"Xinjiang Normal University, China","institution_ids":["https://openalex.org/I1334729051"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102884551","display_name":"Jingran Liu","orcid":"https://orcid.org/0009-0003-6977-2949"},"institutions":[{"id":"https://openalex.org/I1334729051","display_name":"Xinjiang Normal University","ror":"https://ror.org/00ndrvk93","country_code":"CN","type":"education","lineage":["https://openalex.org/I1334729051"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jingran Liu","raw_affiliation_strings":["Xinjiang Normal University, China"],"raw_orcid":"https://orcid.org/0009-0003-6977-2949","affiliations":[{"raw_affiliation_string":"Xinjiang Normal University, China","institution_ids":["https://openalex.org/I1334729051"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Chunling Li","orcid":"https://orcid.org/0009-0002-5863-9790"},"institutions":[{"id":"https://openalex.org/I1334729051","display_name":"Xinjiang Normal University","ror":"https://ror.org/00ndrvk93","country_code":"CN","type":"education","lineage":["https://openalex.org/I1334729051"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chunling Li","raw_affiliation_strings":["Xinjiang Normal University, China"],"raw_orcid":"https://orcid.org/0009-0002-5863-9790","affiliations":[{"raw_affiliation_string":"Xinjiang Normal University, China","institution_ids":["https://openalex.org/I1334729051"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5014641760","display_name":"Yujun Zhou","orcid":"https://orcid.org/0009-0008-0107-3048"},"institutions":[{"id":"https://openalex.org/I1334729051","display_name":"Xinjiang Normal University","ror":"https://ror.org/00ndrvk93","country_code":"CN","type":"education","lineage":["https://openalex.org/I1334729051"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yujun Zhou","raw_affiliation_strings":["Xinjiang Normal University, China"],"raw_orcid":"https://orcid.org/0009-0008-0107-3048","affiliations":[{"raw_affiliation_string":"Xinjiang Normal University, China","institution_ids":["https://openalex.org/I1334729051"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5089992902"],"corresponding_institution_ids":["https://openalex.org/I1334729051"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.19117435,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"137","last_page":"143"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9975000023841858,"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":0.9975000023841858,"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":0.9909999966621399,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.9887999892234802,"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/recall-rate","display_name":"Recall rate","score":0.7601428031921387},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6681758761405945},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6287618279457092},{"id":"https://openalex.org/keywords/rendering","display_name":"Rendering (computer graphics)","score":0.5689734816551208},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5393158793449402},{"id":"https://openalex.org/keywords/recall","display_name":"Recall","score":0.47785302996635437},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4702673852443695},{"id":"https://openalex.org/keywords/precision-and-recall","display_name":"Precision and recall","score":0.4345749616622925}],"concepts":[{"id":"https://openalex.org/C2987098735","wikidata":"https://www.wikidata.org/wiki/Q3808900","display_name":"Recall rate","level":2,"score":0.7601428031921387},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6681758761405945},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6287618279457092},{"id":"https://openalex.org/C205711294","wikidata":"https://www.wikidata.org/wiki/Q176953","display_name":"Rendering (computer graphics)","level":2,"score":0.5689734816551208},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5393158793449402},{"id":"https://openalex.org/C100660578","wikidata":"https://www.wikidata.org/wiki/Q18733","display_name":"Recall","level":2,"score":0.47785302996635437},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4702673852443695},{"id":"https://openalex.org/C81669768","wikidata":"https://www.wikidata.org/wiki/Q2359161","display_name":"Precision and recall","level":2,"score":0.4345749616622925},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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:10.1145/3603273.3635239","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3603273.3635239","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 International Conference on Advances in Artificial Intelligence and Applications","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7699999809265137,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":3,"referenced_works":["https://openalex.org/W3021636956","https://openalex.org/W4254816979","https://openalex.org/W4380894581"],"related_works":["https://openalex.org/W2358294942","https://openalex.org/W1996359983","https://openalex.org/W2601891598","https://openalex.org/W4367460280","https://openalex.org/W4328049145","https://openalex.org/W2121569490","https://openalex.org/W3214249595","https://openalex.org/W2352065863","https://openalex.org/W4225869856","https://openalex.org/W4387052059"],"abstract_inverted_index":{"Addressing":[0],"issues":[1],"such":[2],"as":[3],"low":[4],"classification":[5,17,59,101],"accuracy":[6,63],"and":[7,28,73],"lack":[8],"of":[9],"text":[10,16,58,100],"feature":[11],"extraction":[12],"capabilities":[13],"in":[14,98],"traditional":[15],"models,":[18,88],"this":[19],"paper":[20],"proposes":[21],"a":[22],"model":[23,43,49,95],"structure":[24],"based":[25],"on":[26],"MacBERT":[27,42],"Bidirectional":[29],"Gated":[30],"Recurrent":[31],"Unit":[32],"(BiGRU).":[33],"The":[34,61],"dynamic":[35],"word":[36],"vectors":[37],"obtained":[38],"from":[39],"the":[40,47,74,83,93],"pre-trained":[41],"are":[44],"input":[45],"into":[46],"BiGRU":[48],"to":[50],"extract":[51],"bidirectional":[52],"context":[53],"relations,":[54],"rendering":[55],"more":[56],"accurate":[57],"results.":[60],"final":[62],"reached":[64,67,71,79],"92.82%,":[65],"precision":[66],"90.12%,":[68],"recall":[69],"rate":[70],"89.49%,":[72],"comprehensive":[75],"evaluation":[76],"value":[77],"FI":[78],"89.79%.":[80],"By":[81],"comparing":[82],"experimental":[84],"results":[85],"with":[86],"other":[87],"it":[89],"was":[90],"found":[91],"that":[92],"MacBERT-BiGRU":[94],"performs":[96],"well":[97],"Chinese":[99],"tasks.":[102]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}