{"id":"https://openalex.org/W3046209761","doi":"https://doi.org/10.1109/iwcmc48107.2020.9148298","title":"A Novel Text Features Jointing Model for Review Spam Filtering of Chinese","display_name":"A Novel Text Features Jointing Model for Review Spam Filtering of Chinese","publication_year":2020,"publication_date":"2020-06-01","ids":{"openalex":"https://openalex.org/W3046209761","doi":"https://doi.org/10.1109/iwcmc48107.2020.9148298","mag":"3046209761"},"language":"en","primary_location":{"id":"doi:10.1109/iwcmc48107.2020.9148298","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iwcmc48107.2020.9148298","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 International Wireless Communications and Mobile Computing (IWCMC)","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/A5075514816","display_name":"Faxin Zhang","orcid":null},"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":true,"raw_author_name":"Faxin Zhang","raw_affiliation_strings":["Beijing Key Lab of Intelligent Telecomm. Software and Multimedia, Beijing University of Posts and Telecomm, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing Key Lab of Intelligent Telecomm. Software and Multimedia, Beijing University of Posts and Telecomm, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009660117","display_name":"Lichen Qiu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lichen Qiu","raw_affiliation_strings":["Dongyuqiao Primary School, Shandong, China"],"affiliations":[{"raw_affiliation_string":"Dongyuqiao Primary School, Shandong, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101682276","display_name":"Peng Qi","orcid":"https://orcid.org/0000-0003-0390-5449"},"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":"Peng Qi","raw_affiliation_strings":["Beijing Key Lab of Intelligent Telecomm. Software and Multimedia, Beijing University of Posts and Telecomm, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing Key Lab of Intelligent Telecomm. Software and Multimedia, Beijing University of Posts and Telecomm, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5010337399","display_name":"Hong Luo","orcid":"https://orcid.org/0000-0002-0672-3440"},"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":"Hong Luo","raw_affiliation_strings":["Beijing Key Lab of Intelligent Telecomm. Software and Multimedia, Beijing University of Posts and Telecomm, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing Key Lab of Intelligent Telecomm. Software and Multimedia, Beijing University of Posts and Telecomm, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5075514816"],"corresponding_institution_ids":["https://openalex.org/I139759216"],"apc_list":null,"apc_paid":null,"fwci":0.5338,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.74525682,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":"15","issue":null,"first_page":"2051","last_page":"2056"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11644","display_name":"Spam and Phishing Detection","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T11644","display_name":"Spam and Phishing Detection","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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":0.9997000098228455,"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":0.9991000294685364,"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":0.7877633571624756},{"id":"https://openalex.org/keywords/pinyin","display_name":"Pinyin","score":0.7858762741088867},{"id":"https://openalex.org/keywords/softmax-function","display_name":"Softmax function","score":0.6628668308258057},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6257054805755615},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.559234082698822},{"id":"https://openalex.org/keywords/character","display_name":"Character (mathematics)","score":0.506025493144989},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.47525593638420105},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.45570099353790283},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.4357481598854065},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.41448843479156494},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.34929904341697693},{"id":"https://openalex.org/keywords/chinese-characters","display_name":"Chinese characters","score":0.333200603723526},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.3233264684677124},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.10005933046340942}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7877633571624756},{"id":"https://openalex.org/C2781095461","wikidata":"https://www.wikidata.org/wiki/Q42222","display_name":"Pinyin","level":3,"score":0.7858762741088867},{"id":"https://openalex.org/C188441871","wikidata":"https://www.wikidata.org/wiki/Q7554146","display_name":"Softmax function","level":3,"score":0.6628668308258057},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6257054805755615},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.559234082698822},{"id":"https://openalex.org/C2780861071","wikidata":"https://www.wikidata.org/wiki/Q1062934","display_name":"Character (mathematics)","level":2,"score":0.506025493144989},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.47525593638420105},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.45570099353790283},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.4357481598854065},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.41448843479156494},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.34929904341697693},{"id":"https://openalex.org/C2781051154","wikidata":"https://www.wikidata.org/wiki/Q8201","display_name":"Chinese characters","level":2,"score":0.333200603723526},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.3233264684677124},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.10005933046340942},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iwcmc48107.2020.9148298","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iwcmc48107.2020.9148298","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 International Wireless Communications and Mobile Computing (IWCMC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7799999713897705,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W1614298861","https://openalex.org/W1832693441","https://openalex.org/W2095705004","https://openalex.org/W2318927583","https://openalex.org/W2618063639","https://openalex.org/W2759366113","https://openalex.org/W2770385689","https://openalex.org/W2781591120","https://openalex.org/W2805563577","https://openalex.org/W2940958829","https://openalex.org/W6674330103"],"related_works":["https://openalex.org/W4385493412","https://openalex.org/W3159297355","https://openalex.org/W1575804004","https://openalex.org/W2386864954","https://openalex.org/W380382270","https://openalex.org/W3123716854","https://openalex.org/W1788792945","https://openalex.org/W2101906057","https://openalex.org/W2371267009","https://openalex.org/W2372811119"],"abstract_inverted_index":{"Review":[0],"spam":[1,31,68,172,182],"filtering":[2,32,69,173],"of":[3,13,25,33,46,53,71,77,84,92,98,113,125,140,174],"Chinese":[4,72,96],"is":[5],"a":[6,23,47,54,65],"hot":[7],"research":[8],"topic":[9],"in":[10,170],"the":[11,51,78,81,99,102,106,110,123,131,137,147,152,161],"field":[12],"natural":[14],"language":[15],"processing.":[16],"In":[17,57],"recent":[18],"years,":[19],"there":[20],"have":[21],"aroused":[22],"lot":[24],"neural":[26],"network":[27],"models":[28,37],"for":[29,94],"review":[30,48,67,171,181],"Chinese,":[34],"but":[35],"these":[36,126],"mainly":[38],"focus":[39],"on":[40,61,180],"utilizing":[41],"text":[42],"semantics":[43],"or":[44],"part-of-speech":[45],"without":[49],"considering":[50],"variants":[52],"sensitive":[55],"word.":[56],"this":[58],"paper,":[59],"based":[60],"TextCNN,":[62],"we":[63,87,118,143],"propose":[64],"novel":[66],"model":[70,163],"that":[73,160],"embeds":[74],"various":[75],"features":[76,124,133,139],"text.":[79],"Considering":[80],"common":[82],"types":[83],"variant":[85],"words,":[86],"first":[88],"extract":[89],"three":[90],"sets":[91],"vectors":[93],"each":[95,114],"character":[97,104],"review,":[100],"including":[101],"single":[103,115],"vector,":[105,108],"pinyin":[107,111],"and":[109,178,185],"vector":[112],"character.":[116],"Then,":[117],"use":[119],"TextCNN":[120],"to":[121,146,150],"learn":[122],"vectors,":[127],"respectively.":[128],"After":[129],"that,":[130],"learned":[132],"are":[134],"added":[135],"as":[136],"comprehensive":[138],"review.":[141],"Finally,":[142],"input":[144],"it":[145],"softmax":[148],"layer":[149],"get":[151],"final":[153],"classification":[154,168],"results.":[155],"The":[156,176],"experimental":[157],"results":[158],"show":[159],"joint":[162],"performs":[164],"better":[165],"than":[166],"classic":[167],"methods":[169],"Chinese.":[175],"recall":[177],"F1-score":[179],"reach":[183],"92.4%":[184],"93.6%.":[186]},"counts_by_year":[{"year":2022,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}