{"id":"https://openalex.org/W2911410509","doi":"https://doi.org/10.1145/3302425.3302468","title":"Recurrent Convolutional Neural Network with Attention for Twitter and Yelp Sentiment Classification","display_name":"Recurrent Convolutional Neural Network with Attention for Twitter and Yelp Sentiment Classification","publication_year":2018,"publication_date":"2018-12-21","ids":{"openalex":"https://openalex.org/W2911410509","doi":"https://doi.org/10.1145/3302425.3302468","mag":"2911410509"},"language":"en","primary_location":{"id":"doi:10.1145/3302425.3302468","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3302425.3302468","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2018 International Conference on Algorithms, Computing and Artificial Intelligence","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/A5016698547","display_name":"Shuang Wen","orcid":"https://orcid.org/0009-0006-2530-4993"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuang Wen","raw_affiliation_strings":["School of Computer Science, Beijing University of Posts and Telecommunications, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101984581","display_name":"Jian Li","orcid":"https://orcid.org/0000-0002-0149-8299"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jian Li","raw_affiliation_strings":["School of Computer Science, Beijing University of Posts and Telecommunications, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I139759216"],"apc_list":null,"apc_paid":null,"fwci":0.6791,"has_fulltext":false,"cited_by_count":18,"citation_normalized_percentile":{"value":0.76171601,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9995999932289124,"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":0.9995999932289124,"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":0.9994999766349792,"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":0.9986000061035156,"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":0.8327620625495911},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7969805002212524},{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.7446357011795044},{"id":"https://openalex.org/keywords/sentiment-analysis","display_name":"Sentiment analysis","score":0.6063603162765503},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5770699381828308},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.40676212310791016},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.39457136392593384}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8327620625495911},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7969805002212524},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.7446357011795044},{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.6063603162765503},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5770699381828308},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.40676212310791016},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.39457136392593384}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3302425.3302468","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3302425.3302468","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2018 International Conference on Algorithms, Computing and Artificial Intelligence","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":35,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1614298861","https://openalex.org/W1832693441","https://openalex.org/W2064675550","https://openalex.org/W2120615054","https://openalex.org/W2133564696","https://openalex.org/W2157331557","https://openalex.org/W2158899491","https://openalex.org/W2170240176","https://openalex.org/W2216973458","https://openalex.org/W2250539671","https://openalex.org/W2250966211","https://openalex.org/W2252215182","https://openalex.org/W2265846598","https://openalex.org/W2284289336","https://openalex.org/W2470673105","https://openalex.org/W2513276162","https://openalex.org/W2599743206","https://openalex.org/W2607310459","https://openalex.org/W2608224443","https://openalex.org/W2618530766","https://openalex.org/W2739826982","https://openalex.org/W2768949784","https://openalex.org/W2780698117","https://openalex.org/W2950577311","https://openalex.org/W2952230511","https://openalex.org/W2963119602","https://openalex.org/W2963626623","https://openalex.org/W6631190155","https://openalex.org/W6683738474","https://openalex.org/W6691431627","https://openalex.org/W6695662000","https://openalex.org/W6719819555","https://openalex.org/W6726160732","https://openalex.org/W6736304128"],"related_works":["https://openalex.org/W2548633793","https://openalex.org/W4225394202","https://openalex.org/W4298287631","https://openalex.org/W2953061907","https://openalex.org/W3032952384","https://openalex.org/W3034302643","https://openalex.org/W3089396779","https://openalex.org/W1847088711","https://openalex.org/W3132372214","https://openalex.org/W2596247554"],"abstract_inverted_index":{"This":[0],"paper":[1,73],"proposes":[2],"a":[3,80],"combination":[4,32],"structure":[5],"of":[6,30,71],"Recurrent":[7],"Neural":[8,13],"Network":[9,14],"(RNN)":[10],"and":[11,64,74],"Convolutional":[12],"(CNN)":[15],"for":[16],"sentiment":[17],"classification.":[18],"Our":[19,45],"model":[20,35,46,78],"has":[21,79],"two":[22,60,69],"distinct":[23],"characteristics:":[24],"(1)":[25],"Owing":[26],"to":[27,51],"the":[28,31,48,68],"characteristics":[29],"structure,":[33],"our":[34,77],"can":[36],"extract":[37],"n_gram":[38],"features":[39],"with":[40],"bidirectional":[41],"time":[42],"series.":[43],"(2)":[44],"utilizes":[47],"attention":[49],"mechanism":[50],"effectively":[52],"capture":[53],"important":[54],"emotional":[55],"content.":[56],"Experiments":[57],"conducted":[58],"on":[59],"public":[61],"datasets":[62],"twitter":[63],"yelp.":[65],"We":[66],"evaluate":[67],"aspects":[70],"this":[72],"shows":[75],"that":[76],"significant":[81],"performance.":[82]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":3}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}