{"id":"https://openalex.org/W4205798517","doi":"https://doi.org/10.1145/3501409.3501636","title":"Classification of News Texts Based on Bayes Algorithm","display_name":"Classification of News Texts Based on Bayes Algorithm","publication_year":2021,"publication_date":"2021-10-22","ids":{"openalex":"https://openalex.org/W4205798517","doi":"https://doi.org/10.1145/3501409.3501636"},"language":"en","primary_location":{"id":"doi:10.1145/3501409.3501636","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3501409.3501636","pdf_url":null,"source":{"id":"https://openalex.org/S4363608789","display_name":"Proceedings of the 2021 5th International Conference on Electronic Information Technology and Computer Engineering","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2021 5th International Conference on Electronic Information Technology and Computer Engineering","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/A5100391080","display_name":"Qian Wang","orcid":"https://orcid.org/0000-0002-5906-1890"},"institutions":[{"id":"https://openalex.org/I74485261","display_name":"Shandong Agricultural University","ror":"https://ror.org/02ke8fw32","country_code":"CN","type":"education","lineage":["https://openalex.org/I74485261"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qian Wang","raw_affiliation_strings":["College of Information Science and Engineering, ShanDong Agricultural University, Shandong Taian, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Information Science and Engineering, ShanDong Agricultural University, Shandong Taian, China","institution_ids":["https://openalex.org/I74485261"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059071568","display_name":"Hongli Xu","orcid":"https://orcid.org/0000-0001-8156-8594"},"institutions":[{"id":"https://openalex.org/I74485261","display_name":"Shandong Agricultural University","ror":"https://ror.org/02ke8fw32","country_code":"CN","type":"education","lineage":["https://openalex.org/I74485261"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"HongLi Xu","raw_affiliation_strings":["College of Information Science and Engineering, ShanDong Agricultural University, Shandong Taian, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Information Science and Engineering, ShanDong Agricultural University, Shandong Taian, China","institution_ids":["https://openalex.org/I74485261"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100363317","display_name":"Yanling Li","orcid":"https://orcid.org/0000-0002-9700-8978"},"institutions":[{"id":"https://openalex.org/I74485261","display_name":"Shandong Agricultural University","ror":"https://ror.org/02ke8fw32","country_code":"CN","type":"education","lineage":["https://openalex.org/I74485261"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"YanLing Li","raw_affiliation_strings":["College of Information Science and Engineering, ShanDong Agricultural University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Information Science and Engineering, ShanDong Agricultural University","institution_ids":["https://openalex.org/I74485261"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I74485261"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1288","last_page":"1291"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10400","display_name":"Network Security and Intrusion Detection","score":0.9811000227928162,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T10400","display_name":"Network Security and Intrusion Detection","score":0.9811000227928162,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T13734","display_name":"Advanced Computational Techniques and Applications","score":0.9629999995231628,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9508000016212463,"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/naive-bayes-classifier","display_name":"Naive Bayes classifier","score":0.8565372228622437},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7702842950820923},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.6273951530456543},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6115240454673767},{"id":"https://openalex.org/keywords/python","display_name":"Python (programming language)","score":0.6058391332626343},{"id":"https://openalex.org/keywords/a-priori-and-a-posteriori","display_name":"A priori and a posteriori","score":0.5391185283660889},{"id":"https://openalex.org/keywords/bayes-classifier","display_name":"Bayes classifier","score":0.5292719602584839},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5013573169708252},{"id":"https://openalex.org/keywords/information-extraction","display_name":"Information extraction","score":0.4843969941139221},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.48149216175079346},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.47459742426872253},{"id":"https://openalex.org/keywords/statistical-classification","display_name":"Statistical classification","score":0.4605395793914795},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.45851704478263855},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.45777010917663574},{"id":"https://openalex.org/keywords/bayesian-programming","display_name":"Bayesian programming","score":0.4472634196281433},{"id":"https://openalex.org/keywords/bayes-theorem","display_name":"Bayes' theorem","score":0.436368465423584},{"id":"https://openalex.org/keywords/data-pre-processing","display_name":"Data pre-processing","score":0.41592735052108765},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3560107946395874},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.34184616804122925},{"id":"https://openalex.org/keywords/bayes-factor","display_name":"Bayes factor","score":0.16421625018119812},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.08278971910476685}],"concepts":[{"id":"https://openalex.org/C52001869","wikidata":"https://www.wikidata.org/wiki/Q812530","display_name":"Naive Bayes classifier","level":3,"score":0.8565372228622437},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7702842950820923},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.6273951530456543},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6115240454673767},{"id":"https://openalex.org/C519991488","wikidata":"https://www.wikidata.org/wiki/Q28865","display_name":"Python (programming language)","level":2,"score":0.6058391332626343},{"id":"https://openalex.org/C75553542","wikidata":"https://www.wikidata.org/wiki/Q178161","display_name":"A priori and a posteriori","level":2,"score":0.5391185283660889},{"id":"https://openalex.org/C185207860","wikidata":"https://www.wikidata.org/wiki/Q17004744","display_name":"Bayes classifier","level":4,"score":0.5292719602584839},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5013573169708252},{"id":"https://openalex.org/C195807954","wikidata":"https://www.wikidata.org/wiki/Q1662562","display_name":"Information extraction","level":2,"score":0.4843969941139221},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.48149216175079346},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.47459742426872253},{"id":"https://openalex.org/C110083411","wikidata":"https://www.wikidata.org/wiki/Q1744628","display_name":"Statistical classification","level":2,"score":0.4605395793914795},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.45851704478263855},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.45777010917663574},{"id":"https://openalex.org/C127043819","wikidata":"https://www.wikidata.org/wiki/Q16243608","display_name":"Bayesian programming","level":5,"score":0.4472634196281433},{"id":"https://openalex.org/C207201462","wikidata":"https://www.wikidata.org/wiki/Q182505","display_name":"Bayes' theorem","level":3,"score":0.436368465423584},{"id":"https://openalex.org/C10551718","wikidata":"https://www.wikidata.org/wiki/Q5227332","display_name":"Data pre-processing","level":2,"score":0.41592735052108765},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3560107946395874},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.34184616804122925},{"id":"https://openalex.org/C142291917","wikidata":"https://www.wikidata.org/wiki/Q4165283","display_name":"Bayes factor","level":4,"score":0.16421625018119812},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.08278971910476685},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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:10.1145/3501409.3501636","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3501409.3501636","pdf_url":null,"source":{"id":"https://openalex.org/S4363608789","display_name":"Proceedings of the 2021 5th International Conference on Electronic Information Technology and Computer Engineering","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2021 5th International Conference on Electronic Information Technology and Computer Engineering","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":5,"referenced_works":["https://openalex.org/W2990714382","https://openalex.org/W3088400790","https://openalex.org/W3096615750","https://openalex.org/W3116693111","https://openalex.org/W4200411312"],"related_works":["https://openalex.org/W2393473353","https://openalex.org/W349770100","https://openalex.org/W1998749474","https://openalex.org/W83434975","https://openalex.org/W2394466068","https://openalex.org/W51914556","https://openalex.org/W2294572603","https://openalex.org/W4249956947","https://openalex.org/W2547400098","https://openalex.org/W3153505674"],"abstract_inverted_index":{"At":[0],"present,":[1],"in":[2,12,19,40],"order":[3],"to":[4,33,48],"obtain":[5],"valuable":[6],"information":[7,11],"from":[8],"the":[9,16,24,29,35,53,60,67,77,86,92,104,117,120,125],"mixed":[10],"a":[13,114],"short":[14],"time,":[15],"text":[17,38,122],"classification":[18,39,72,82],"data":[20,41],"mining":[21],"emerges":[22],"with":[23,89,111],"time":[25],"going.":[26],"we":[27,44],"used":[28],"naive":[30,70,108],"Bayes":[31,109],"algorithm":[32],"solve":[34],"problem":[36],"of":[37,52,65,69,80,94,107,128],"mining.":[42],"Firstly,":[43],"need":[45],"further":[46],"preprocessing":[47],"reflect":[49],"this":[50],"feature":[51,123],"text,":[54],"which":[55],"is":[56,74,83,102,130],"TF-ID.":[57],"Secondly,":[58],"through":[59],"integrated":[61],"environment":[62],"anaconda":[63],"platform":[64],"Python,":[66],"principle":[68,106],"Bayesian":[71,95],"model":[73,110],"mastered":[75],"and":[76,116],"whole":[78],"process":[79],"news":[81],"displayed.":[84],"Finally,":[85],"characteristic":[87],"extraction":[88,126],"TF-IDF":[90,129],"value,":[91],"accuracy":[93],"classifier":[96],"was":[97],"significantly":[98],"improved.":[99],"The":[100],"emphasis":[101],"on":[103,119],"working":[105],"multinomial":[112],"as":[113],"priori":[115],"improvement":[118],"methodof":[121],"extraction.:":[124],"method":[127],"more":[131],"reasonable.":[132]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}