{"id":"https://openalex.org/W2558960030","doi":"https://doi.org/10.1145/2975167.2975176","title":"Text Classification with Topic-based Word Embedding and Convolutional Neural Networks","display_name":"Text Classification with Topic-based Word Embedding and Convolutional Neural Networks","publication_year":2016,"publication_date":"2016-10-02","ids":{"openalex":"https://openalex.org/W2558960030","doi":"https://doi.org/10.1145/2975167.2975176","mag":"2558960030"},"language":"en","primary_location":{"id":"doi:10.1145/2975167.2975176","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2975167.2975176","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 7th ACM International Conference on Bioinformatics, Computational Biology, and Health Informatics","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/A5101434844","display_name":"Haotian Xu","orcid":"https://orcid.org/0000-0003-3193-8432"},"institutions":[{"id":"https://openalex.org/I185443292","display_name":"Wayne State University","ror":"https://ror.org/01070mq45","country_code":"US","type":"education","lineage":["https://openalex.org/I185443292"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Haotian Xu","raw_affiliation_strings":["Department of Computer Science, Wayne State University, Detroit, Michigan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Wayne State University, Detroit, Michigan","institution_ids":["https://openalex.org/I185443292"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101897244","display_name":"Ming Dong","orcid":"https://orcid.org/0000-0003-3700-0154"},"institutions":[{"id":"https://openalex.org/I185443292","display_name":"Wayne State University","ror":"https://ror.org/01070mq45","country_code":"US","type":"education","lineage":["https://openalex.org/I185443292"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ming Dong","raw_affiliation_strings":["Department of Computer Science, Wayne State University, Detroit, Michigan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Wayne State University, Detroit, Michigan","institution_ids":["https://openalex.org/I185443292"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009256505","display_name":"Dongxiao Zhu","orcid":"https://orcid.org/0000-0002-0225-7817"},"institutions":[{"id":"https://openalex.org/I185443292","display_name":"Wayne State University","ror":"https://ror.org/01070mq45","country_code":"US","type":"education","lineage":["https://openalex.org/I185443292"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Dongxiao Zhu","raw_affiliation_strings":["Department of Computer Science, Wayne State University, Detroit, Michigan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Wayne State University, Detroit, Michigan","institution_ids":["https://openalex.org/I185443292"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025168533","display_name":"Alexander Kotov","orcid":"https://orcid.org/0000-0002-9872-6605"},"institutions":[{"id":"https://openalex.org/I185443292","display_name":"Wayne State University","ror":"https://ror.org/01070mq45","country_code":"US","type":"education","lineage":["https://openalex.org/I185443292"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Alexander Kotov","raw_affiliation_strings":["Department of Computer Science, Wayne State University, Detroit, Michigan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Wayne State University, Detroit, Michigan","institution_ids":["https://openalex.org/I185443292"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084484677","display_name":"April Idalski Carcone","orcid":"https://orcid.org/0000-0002-4731-1995"},"institutions":[{"id":"https://openalex.org/I185443292","display_name":"Wayne State University","ror":"https://ror.org/01070mq45","country_code":"US","type":"education","lineage":["https://openalex.org/I185443292"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"April Idalski Carcone","raw_affiliation_strings":["Pediatric Prevention Research Center, Wayne State University, Detroit, Michigan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Pediatric Prevention Research Center, Wayne State University, Detroit, Michigan","institution_ids":["https://openalex.org/I185443292"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5079534999","display_name":"Sylvie Naar\u2010King","orcid":null},"institutions":[{"id":"https://openalex.org/I185443292","display_name":"Wayne State University","ror":"https://ror.org/01070mq45","country_code":"US","type":"education","lineage":["https://openalex.org/I185443292"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sylvie Naar-King","raw_affiliation_strings":["Pediatric Prevention Research Center, Wayne State University, Detroit, Michigan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Pediatric Prevention Research Center, Wayne State University, Detroit, Michigan","institution_ids":["https://openalex.org/I185443292"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I185443292"],"apc_list":null,"apc_paid":null,"fwci":3.1061,"has_fulltext":false,"cited_by_count":51,"citation_normalized_percentile":{"value":0.94125546,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"88","last_page":"97"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9962999820709229,"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/T11710","display_name":"Biomedical Text Mining and Ontologies","score":0.9954000115394592,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8631210923194885},{"id":"https://openalex.org/keywords/latent-dirichlet-allocation","display_name":"Latent Dirichlet allocation","score":0.7979185581207275},{"id":"https://openalex.org/keywords/word-embedding","display_name":"Word embedding","score":0.7888138294219971},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6976072788238525},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6742754578590393},{"id":"https://openalex.org/keywords/search-engine-indexing","display_name":"Search engine indexing","score":0.6113359928131104},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5926679968833923},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.5897546410560608},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5377618670463562},{"id":"https://openalex.org/keywords/topic-model","display_name":"Topic model","score":0.5144405961036682},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.4650864005088806},{"id":"https://openalex.org/keywords/language-model","display_name":"Language model","score":0.4648420214653015},{"id":"https://openalex.org/keywords/document-classification","display_name":"Document classification","score":0.4447599947452545},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.4344102144241333}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8631210923194885},{"id":"https://openalex.org/C500882744","wikidata":"https://www.wikidata.org/wiki/Q269236","display_name":"Latent Dirichlet allocation","level":3,"score":0.7979185581207275},{"id":"https://openalex.org/C2777462759","wikidata":"https://www.wikidata.org/wiki/Q18395344","display_name":"Word embedding","level":3,"score":0.7888138294219971},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6976072788238525},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6742754578590393},{"id":"https://openalex.org/C75165309","wikidata":"https://www.wikidata.org/wiki/Q2258979","display_name":"Search engine indexing","level":2,"score":0.6113359928131104},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5926679968833923},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.5897546410560608},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5377618670463562},{"id":"https://openalex.org/C171686336","wikidata":"https://www.wikidata.org/wiki/Q3532085","display_name":"Topic model","level":2,"score":0.5144405961036682},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.4650864005088806},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.4648420214653015},{"id":"https://openalex.org/C2780479914","wikidata":"https://www.wikidata.org/wiki/Q302088","display_name":"Document classification","level":2,"score":0.4447599947452545},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.4344102144241333},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2975167.2975176","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2975167.2975176","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 7th ACM International Conference on Bioinformatics, Computational Biology, and Health Informatics","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.7799999713897705}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W6908809","https://openalex.org/W74342042","https://openalex.org/W122488336","https://openalex.org/W1493526108","https://openalex.org/W1832693441","https://openalex.org/W1880262756","https://openalex.org/W1904365287","https://openalex.org/W1969486090","https://openalex.org/W1981617416","https://openalex.org/W1996211074","https://openalex.org/W2023326407","https://openalex.org/W2053725995","https://openalex.org/W2068463433","https://openalex.org/W2107034620","https://openalex.org/W2112050062","https://openalex.org/W2117130368","https://openalex.org/W2120615054","https://openalex.org/W2142955026","https://openalex.org/W2147152072","https://openalex.org/W2160171761","https://openalex.org/W2250539671","https://openalex.org/W2265846598","https://openalex.org/W2394742672","https://openalex.org/W2394935951","https://openalex.org/W2402729802","https://openalex.org/W2443414978","https://openalex.org/W2604272474","https://openalex.org/W2950133940","https://openalex.org/W2950477597","https://openalex.org/W2950577311","https://openalex.org/W2990138404","https://openalex.org/W2998704965","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W2888805565","https://openalex.org/W4312773271","https://openalex.org/W4315588616","https://openalex.org/W2743191757","https://openalex.org/W2703484599","https://openalex.org/W4297311563","https://openalex.org/W2008991527","https://openalex.org/W1995796873","https://openalex.org/W2594674086","https://openalex.org/W2018409826"],"abstract_inverted_index":{"Recently,":[0],"distributed":[1,67],"word":[2,35,60,68,86],"embeddings":[3,36,87],"trained":[4],"by":[5],"neural":[6,27],"language":[7,28],"models":[8],"are":[9,79],"commonly":[10],"used":[11],"for":[12,37,92],"text":[13,93],"classification":[14],"with":[15,41,48],"Convolutional":[16],"Neural":[17],"Networks":[18],"(CNNs).":[19],"In":[20],"this":[21],"paper,":[22],"we":[23,103],"propose":[24],"a":[25],"novel":[26],"model,":[29],"Topic-based":[30,43,109],"Skip-gram,":[31],"to":[32,56,81],"learn":[33],"topic-based":[34,59],"biomedical":[38,119],"literature":[39,120],"indexing":[40],"CNNs.":[42],"Skip-gram":[44,110],"leverages":[45],"textual":[46,127],"content":[47],"topic":[49],"models,":[50],"e.g.,":[51],"Latent":[52],"Dirichlet":[53],"Allocation":[54],"(LDA),":[55],"capture":[57],"precise":[58],"relationship":[61],"and":[62,111,125],"then":[63,72],"integrate":[64],"it":[65],"into":[66],"embedding":[69],"learning.":[70],"We":[71],"describe":[73],"two":[74],"multimodal":[75,112],"CNN":[76,113],"architectures,":[77],"which":[78],"able":[80],"employ":[82],"different":[83],"kinds":[84],"of":[85,107],"at":[88],"the":[89],"same":[90],"time":[91],"classification.":[94,130],"Through":[95],"extensive":[96],"experiments":[97],"conducted":[98],"on":[99],"several":[100],"real-world":[101],"datasets,":[102],"demonstrate":[104],"that":[105],"combination":[106],"our":[108],"architectures":[114],"outperforms":[115],"state-of-the-art":[116],"methods":[117],"in":[118],"indexing,":[121],"clinical":[122],"note":[123],"annotation":[124],"general":[126],"benchmark":[128],"dataset":[129]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":11},{"year":2021,"cited_by_count":7},{"year":2020,"cited_by_count":7},{"year":2019,"cited_by_count":10},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}