{"id":"https://openalex.org/W2945329834","doi":"https://doi.org/10.1145/3318299.3318307","title":"ClassVector","display_name":"ClassVector","publication_year":2019,"publication_date":"2019-02-22","ids":{"openalex":"https://openalex.org/W2945329834","doi":"https://doi.org/10.1145/3318299.3318307","mag":"2945329834"},"language":"en","primary_location":{"id":"doi:10.1145/3318299.3318307","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3318299.3318307","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2019 11th International Conference on Machine Learning and Computing","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/A5028409633","display_name":"Jiaqi Yao","orcid":"https://orcid.org/0009-0004-7785-3295"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Jiaqi Yao","raw_affiliation_strings":["National Key Laboratory of Science and Technology on Blind Signal Processing, Chengdu, Sichuan, China"],"affiliations":[{"raw_affiliation_string":"National Key Laboratory of Science and Technology on Blind Signal Processing, Chengdu, Sichuan, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101714495","display_name":"Keren Wang","orcid":"https://orcid.org/0000-0002-5846-7119"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Keren Wang","raw_affiliation_strings":["National Key Laboratory of Science and Technology on Blind Signal Processing, Chengdu, Sichuan, China"],"affiliations":[{"raw_affiliation_string":"National Key Laboratory of Science and Technology on Blind Signal Processing, Chengdu, Sichuan, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081049428","display_name":"Zhengguo Xu","orcid":"https://orcid.org/0000-0003-0599-7324"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhengguo Xu","raw_affiliation_strings":["National Key Laboratory of Science and Technology on Blind Signal Processing, Chengdu, Sichuan, China"],"affiliations":[{"raw_affiliation_string":"National Key Laboratory of Science and Technology on Blind Signal Processing, Chengdu, Sichuan, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101781342","display_name":"Jikun Yan","orcid":"https://orcid.org/0000-0003-2600-968X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jikun Yan","raw_affiliation_strings":["National Key Laboratory of Science and Technology on Blind Signal Processing, Chengdu, Sichuan, China"],"affiliations":[{"raw_affiliation_string":"National Key Laboratory of Science and Technology on Blind Signal Processing, Chengdu, Sichuan, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5028409633"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.04164833,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"30","issue":null,"first_page":"322","last_page":"326"},"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/T10664","display_name":"Sentiment Analysis and Opinion Mining","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/T11550","display_name":"Text and Document Classification Technologies","score":0.9994000196456909,"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":0.8016728758811951},{"id":"https://openalex.org/keywords/parameterized-complexity","display_name":"Parameterized complexity","score":0.7532729506492615},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.6159513592720032},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.5924450755119324},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.590897262096405},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.58649742603302},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5440442562103271},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.5370036959648132},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.44545063376426697},{"id":"https://openalex.org/keywords/state","display_name":"State (computer science)","score":0.4133148193359375},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3464149832725525},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.12288272380828857}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8016728758811951},{"id":"https://openalex.org/C165464430","wikidata":"https://www.wikidata.org/wiki/Q1570441","display_name":"Parameterized complexity","level":2,"score":0.7532729506492615},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.6159513592720032},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.5924450755119324},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.590897262096405},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.58649742603302},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5440442562103271},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.5370036959648132},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.44545063376426697},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.4133148193359375},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3464149832725525},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.12288272380828857},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3318299.3318307","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3318299.3318307","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2019 11th International Conference on Machine Learning and Computing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","score":0.5899999737739563,"id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W1521626219","https://openalex.org/W1524579289","https://openalex.org/W1832693441","https://openalex.org/W2073901485","https://openalex.org/W2114524997","https://openalex.org/W2127416213","https://openalex.org/W2141599568","https://openalex.org/W2153579005","https://openalex.org/W2154359981","https://openalex.org/W2163455955","https://openalex.org/W2170240176","https://openalex.org/W2251939518","https://openalex.org/W2265846598","https://openalex.org/W2470673105","https://openalex.org/W2585540825","https://openalex.org/W2601450892","https://openalex.org/W2744116293","https://openalex.org/W2882319491","https://openalex.org/W2919115771","https://openalex.org/W2950577311","https://openalex.org/W2963270153","https://openalex.org/W2963355447","https://openalex.org/W2963514026","https://openalex.org/W2963626623","https://openalex.org/W2964046515","https://openalex.org/W2964121744","https://openalex.org/W4285719527","https://openalex.org/W6735236233"],"related_works":["https://openalex.org/W2051058708","https://openalex.org/W1494268238","https://openalex.org/W154868527","https://openalex.org/W1983207144","https://openalex.org/W2490706771","https://openalex.org/W2480116122","https://openalex.org/W4255576661","https://openalex.org/W2972825155","https://openalex.org/W2891300059","https://openalex.org/W2089079925"],"abstract_inverted_index":{"We":[0,22,57],"propose":[1],"a":[2,30,33,55,81],"parameterized":[3],"prototype-based":[4,12],"model":[5,60,79],"for":[6],"text":[7,31],"classification,":[8],"named":[9],"ClassVector.":[10],"Unlike":[11],"models,":[13],"we":[14],"parameterize":[15],"the":[16,44,51,77,86],"prototype":[17,45],"vector":[18,46,53],"of":[19,47,54,67],"each":[20,48],"class.":[21],"also":[23],"apply":[24],"convolutional":[25],"neural":[26],"network":[27],"to":[28,32],"map":[29],"feature":[34,52],"vector.":[35],"Classification":[36],"is":[37],"then":[38],"conducted":[39],"by":[40],"computing":[41],"distances":[42],"between":[43],"class":[49],"and":[50,70],"text.":[56],"test":[58],"our":[59],"on":[61],"four":[62],"different":[63],"datasets,":[64],"involving":[65],"tasks":[66],"topic":[68],"classification":[69],"sentiment":[71],"analysis.":[72],"The":[73],"results":[74],"demonstrate":[75],"that":[76],"proposed":[78],"has":[80],"competitive":[82],"performance":[83],"compared":[84],"with":[85],"previous":[87],"state-of-the-art":[88],"methods.":[89]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2019-05-29T00:00:00"}