{"id":"https://openalex.org/W2986113711","doi":"https://doi.org/10.1145/3357254.3357262","title":"Attention-based bidirectional gated recurrent unit neural networks for sentiment analysis","display_name":"Attention-based bidirectional gated recurrent unit neural networks for sentiment analysis","publication_year":2019,"publication_date":"2019-08-16","ids":{"openalex":"https://openalex.org/W2986113711","doi":"https://doi.org/10.1145/3357254.3357262","mag":"2986113711"},"language":"en","primary_location":{"id":"doi:10.1145/3357254.3357262","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3357254.3357262","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2nd International Conference on Artificial Intelligence and Pattern Recognition","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/A5071338243","display_name":"Qing Yu","orcid":"https://orcid.org/0000-0003-2513-2969"},"institutions":[{"id":"https://openalex.org/I136765683","display_name":"Tianjin University of Technology","ror":"https://ror.org/00zbe0w13","country_code":"CN","type":"education","lineage":["https://openalex.org/I136765683"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Qing Yu","raw_affiliation_strings":["Tianjin University of Technology, Tianjin, China"],"affiliations":[{"raw_affiliation_string":"Tianjin University of Technology, Tianjin, China","institution_ids":["https://openalex.org/I136765683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100602280","display_name":"Hui Zhao","orcid":"https://orcid.org/0000-0002-8174-6271"},"institutions":[{"id":"https://openalex.org/I136765683","display_name":"Tianjin University of Technology","ror":"https://ror.org/00zbe0w13","country_code":"CN","type":"education","lineage":["https://openalex.org/I136765683"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hui Zhao","raw_affiliation_strings":["Tianjin University of Technology, Tianjin, China"],"affiliations":[{"raw_affiliation_string":"Tianjin University of Technology, Tianjin, China","institution_ids":["https://openalex.org/I136765683"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5014309875","display_name":"Zuohua Wang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zuohua Wang","raw_affiliation_strings":["Tianjin Times Shengshi, Tianjin, China"],"affiliations":[{"raw_affiliation_string":"Tianjin Times Shengshi, Tianjin, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5071338243"],"corresponding_institution_ids":["https://openalex.org/I136765683"],"apc_list":null,"apc_paid":null,"fwci":1.2601,"has_fulltext":false,"cited_by_count":17,"citation_normalized_percentile":{"value":0.8548036,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"116","last_page":"119"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9980999827384949,"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":0.9980999827384949,"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":0.9955999851226807,"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"}},{"id":"https://openalex.org/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9929999709129333,"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":0.8731754422187805},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7744549512863159},{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.7272984385490417},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6681030988693237},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6331024169921875},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.6210068464279175},{"id":"https://openalex.org/keywords/unit","display_name":"Unit (ring theory)","score":0.6035690307617188},{"id":"https://openalex.org/keywords/mechanism","display_name":"Mechanism (biology)","score":0.5586169362068176},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.46592092514038086},{"id":"https://openalex.org/keywords/warning-system","display_name":"Warning system","score":0.4342879056930542},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.43028879165649414},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.33130860328674316},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.09450647234916687},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.08123272657394409},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.07533848285675049}],"concepts":[{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.8731754422187805},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7744549512863159},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.7272984385490417},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6681030988693237},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6331024169921875},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6210068464279175},{"id":"https://openalex.org/C122637931","wikidata":"https://www.wikidata.org/wiki/Q118084","display_name":"Unit (ring theory)","level":2,"score":0.6035690307617188},{"id":"https://openalex.org/C89611455","wikidata":"https://www.wikidata.org/wiki/Q6804646","display_name":"Mechanism (biology)","level":2,"score":0.5586169362068176},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.46592092514038086},{"id":"https://openalex.org/C29825287","wikidata":"https://www.wikidata.org/wiki/Q1427940","display_name":"Warning system","level":2,"score":0.4342879056930542},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.43028879165649414},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.33130860328674316},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.09450647234916687},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.08123272657394409},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.07533848285675049},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C145420912","wikidata":"https://www.wikidata.org/wiki/Q853077","display_name":"Mathematics education","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3357254.3357262","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3357254.3357262","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2nd International Conference on Artificial Intelligence and Pattern Recognition","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.7799999713897705,"display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W142730124","https://openalex.org/W2100495367","https://openalex.org/W2131774270","https://openalex.org/W2157331557","https://openalex.org/W2201092681","https://openalex.org/W2313798630","https://openalex.org/W2366450295","https://openalex.org/W2546360033","https://openalex.org/W4230872509","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W4362613237","https://openalex.org/W2793022090","https://openalex.org/W4360986142","https://openalex.org/W4298168912","https://openalex.org/W2919358988","https://openalex.org/W3192794374","https://openalex.org/W3213901898","https://openalex.org/W4281386417","https://openalex.org/W2741836081","https://openalex.org/W2805354644"],"abstract_inverted_index":{"Sentiment":[0],"analysis":[1,56],"is":[2],"an":[3],"important":[4],"research":[5],"direction":[6],"of":[7,13],"natural":[8],"language":[9],"processing.":[10],"In-depth":[11],"exploration":[12],"online":[14,29],"textual":[15],"emotional":[16],"information":[17],"has":[18,97],"great":[19],"social":[20,22],"significance":[21],"and":[23,33,45,70],"commercial":[24],"value":[25],"for":[26],"market":[27],"research,":[28],"public":[30],"opinion":[31],"discovery":[32],"early":[34],"warning.":[35],"In":[36],"this":[37],"paper,":[38],"the":[39,46,64,71,76,83,86,89,94,101],"gated":[40,65],"recurrent":[41,66],"unit":[42,67],"neural":[43,68],"network":[44],"attention":[47,59],"mechanism":[48,60],"are":[49],"combined":[50],"to":[51,63,82],"propose":[52],"a":[53],"text":[54],"sentiment":[55],"model---Attention-BGRU.":[57],"The":[58],"was":[61,73],"added":[62],"network,":[69],"model":[72,96],"implemented":[74],"under":[75],"Keras":[77],"deep":[78,103],"learning":[79,104],"framework.":[80],"According":[81],"experimental":[84],"results,":[85],"comparison":[87],"with":[88],"existing":[90],"models":[91],"shows":[92],"that":[93],"proposed":[95],"obvious":[98],"advantages":[99],"over":[100],"general":[102],"method.":[105]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
