{"id":"https://openalex.org/W3215616366","doi":"https://doi.org/10.1109/icccn52240.2021.9522221","title":"A Novel Framework of Identifying Chinese Jargons for Telegram Underground Markets","display_name":"A Novel Framework of Identifying Chinese Jargons for Telegram Underground Markets","publication_year":2021,"publication_date":"2021-07-01","ids":{"openalex":"https://openalex.org/W3215616366","doi":"https://doi.org/10.1109/icccn52240.2021.9522221","mag":"3215616366"},"language":"en","primary_location":{"id":"doi:10.1109/icccn52240.2021.9522221","doi":"https://doi.org/10.1109/icccn52240.2021.9522221","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icccn52240.2021.9522221","pdf_url":null,"source":{"id":"https://openalex.org/S4210191573","display_name":"International Conference on Computer Communications and Networks (ICCCN)","issn_l":"1095-2055","issn":["1095-2055","2637-9430"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","jufo-1","norway-1"],"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 International Conference on Computer Communications and Networks (ICCCN)","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","is_traditional":true,"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/A5100330280","display_name":"Hailin Wang","orcid":"https://orcid.org/0000-0003-0420-9066","observed_orcids":["https://orcid.org/0000-0003-0420-9066"]},"institutions":[{"id":"https://openalex.org/I24185976","display_name":"Sichuan University","ror":"https://ror.org/011ashp19","country_code":"CN","type":"education","lineage":["https://openalex.org/I24185976"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hailin Wang","raw_affiliation_strings":["School of Cyber Science and Engineering, Sichuan University, Chengdu, P.R.China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Cyber Science and Engineering, Sichuan University, Chengdu, P.R.China","institution_ids":["https://openalex.org/I24185976"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101807623","display_name":"Yiwei Thomas Hou","orcid":"https://orcid.org/0009-0007-5808-9553","observed_orcids":["https://orcid.org/0009-0007-5808-9553"]},"institutions":[{"id":"https://openalex.org/I24185976","display_name":"Sichuan University","ror":"https://ror.org/011ashp19","country_code":"CN","type":"education","lineage":["https://openalex.org/I24185976"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yiwei Hou","raw_affiliation_strings":["School of Cyber Science and Engineering, Sichuan University, Chengdu, P.R.China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Cyber Science and Engineering, Sichuan University, Chengdu, P.R.China","institution_ids":["https://openalex.org/I24185976"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101769227","display_name":"Haizhou Wang","orcid":"https://orcid.org/0000-0003-1197-5906","observed_orcids":["https://orcid.org/0000-0003-1197-5906"]},"institutions":[{"id":"https://openalex.org/I24185976","display_name":"Sichuan University","ror":"https://ror.org/011ashp19","country_code":"CN","type":"education","lineage":["https://openalex.org/I24185976"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haizhou Wang","raw_affiliation_strings":["School of Cyber Science and Engineering, Sichuan University, Chengdu, P.R.China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Cyber Science and Engineering, Sichuan University, Chengdu, P.R.China","institution_ids":["https://openalex.org/I24185976"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I24185976"],"apc_list":null,"apc_paid":null,"fwci":0.5641,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.68934904,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"9"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11550","display_name":"Text and Document Classification Technologies","score":0.21570000052452087,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.21570000052452087,"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/T12380","display_name":"Authorship Attribution and Profiling","score":0.21410000324249268,"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/T12262","display_name":"Hate Speech and Cyberbullying Detection","score":0.15479999780654907,"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/telegrams","display_name":"telegrams","score":0.8050000071525574},{"id":"https://openalex.org/keywords/black-market","display_name":"black market","score":0.9739999771118164},{"id":"https://openalex.org/keywords/cybercrime-investigation","display_name":"cybercrime investigation","score":0.7770000100135803},{"id":"https://openalex.org/keywords/word-embeddings","display_name":"word embeddings","score":0.628000020980835},{"id":"https://openalex.org/keywords/transfer-learning","display_name":"transfer learning","score":0.9160000085830688},{"id":"https://openalex.org/keywords/lexical-features","display_name":"lexical features","score":0.7049999833106995},{"id":"https://openalex.org/keywords/dictionary-features","display_name":"dictionary features","score":0.6639999747276306}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8067482709884644},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.6972730159759521},{"id":"https://openalex.org/C2776962539","wikidata":"https://www.wikidata.org/wiki/Q6472078","display_name":"Lagging","level":2,"score":0.5351266860961914},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.466969758272171},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.44942614436149597},{"id":"https://openalex.org/C2781051154","wikidata":"https://www.wikidata.org/wiki/Q8201","display_name":"Chinese characters","level":2,"score":0.441281259059906},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3783029615879059},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.08600172400474548},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","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:10.1109/icccn52240.2021.9522221","doi":"https://doi.org/10.1109/icccn52240.2021.9522221","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icccn52240.2021.9522221","pdf_url":null,"source":{"id":"https://openalex.org/S4210191573","display_name":"International Conference on Computer Communications and Networks (ICCCN)","issn_l":"1095-2055","issn":["1095-2055","2637-9430"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","jufo-1","norway-1"],"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 International Conference on Computer Communications and Networks (ICCCN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W1815362064","https://openalex.org/W2026493302","https://openalex.org/W2113167642","https://openalex.org/W2125031621","https://openalex.org/W2126725946","https://openalex.org/W2550781467","https://openalex.org/W2652594876","https://openalex.org/W2740768945","https://openalex.org/W2740782137","https://openalex.org/W2760398144","https://openalex.org/W2766966928","https://openalex.org/W2767845755","https://openalex.org/W2780704020","https://openalex.org/W2798110387","https://openalex.org/W2798908575","https://openalex.org/W2810578980","https://openalex.org/W2906427285","https://openalex.org/W2913470588","https://openalex.org/W2963578173","https://openalex.org/W2998463583","https://openalex.org/W3012804127","https://openalex.org/W3034237830","https://openalex.org/W3093886426","https://openalex.org/W3100099003","https://openalex.org/W4248840888"],"related_works":["https://openalex.org/W4288681509","https://openalex.org/W4313029462","https://openalex.org/W4213178994","https://openalex.org/W3095374950","https://openalex.org/W7215179594","https://openalex.org/W4385151567","https://openalex.org/W7125403065","https://openalex.org/W7115070774","https://openalex.org/W4285357703","https://openalex.org/W3137947038"],"abstract_inverted_index":{"As":[0],"one":[1],"of":[2,26,48,160,181,188],"the":[3,24,102,158,165,170],"most":[4],"popular":[5,35],"instant":[6],"messaging":[7],"(IM)":[8],"software,":[9],"Telegram":[10,55,92,193],"has":[11],"reached":[12],"500":[13],"million":[14],"monthly":[15],"active":[16],"users":[17],"(MAU)":[18],"up":[19],"to":[20,81,94,135,156,209,213],"January":[21],"2021.":[22],"Nevertheless,":[23,57],"characteristics":[25],"safety":[27],"and":[28,63,130,140,151,197,218],"openness":[29],"have":[30],"also":[31,206],"made":[32],"it":[33],"a":[34,75,96,146,152,173,186],"platform":[36],"for":[37,192,201],"transactions":[38],"in":[39,54,106],"underground":[40,194],"markets.":[41],"Moreover,":[42],"cybercriminals":[43],"usually":[44],"use":[45,145],"jargons":[46,58,83,107,139,175,191,210],"instead":[47],"sensitive":[49],"terms":[50],"when":[51],"they":[52],"communicate":[53],"groups.":[56],"identification":[59,108,176,211],"relies":[60],"on":[61],"time-consuming":[62],"lagging":[64],"manual":[65],"work":[66,184],"currently.":[67],"To":[68],"solve":[69],"this":[70,72],"problem,":[71],"paper":[73],"proposes":[74],"Chinese":[76,104,138,190],"Jargons":[77],"Identification":[78],"Framework":[79],"(CJI-Framework)":[80],"identify":[82],"automatically.":[84],"Firstly,":[85],"we":[86,111,144],"collect":[87],"chat":[88],"history":[89],"from":[90,164],"targeted":[91],"groups":[93],"build":[95],"corpus":[97,105],"called":[98],"TUMCC,":[99],"which":[100,116],"is":[101],"first":[103],"field.":[109],"Secondly,":[110],"extract":[112],"seven":[113],"brand-new":[114],"features":[115],"can":[117,205],"be":[118,199,207],"classified":[119],"into":[120],"three":[121],"categories:":[122],"Vectors-based":[123],"Features":[124,128,133],"(VF),":[125],"Lexical":[126],"analysis-based":[127,132],"(LF),":[129],"Dictionary":[131],"(DF),":[134],"distinguish":[136],"between":[137],"commonly-used":[141],"words.":[142],"Furthermore,":[143],"word":[147,161],"vectors":[148,162],"projection":[149],"method":[150,155,187],"transfer":[153],"learning":[154],"improve":[157],"quality":[159],"generated":[163],"corpora.":[166],"In":[167],"our":[168],"experiments,":[169],"CJI-Framework":[171],"reaches":[172],"remarkable":[174],"performance":[177],"with":[178],"an":[179],"F1-score":[180],"89.66%.":[182],"This":[183],"provides":[185],"identifying":[189],"markets":[195],"effectively":[196],"will":[198],"helpful":[200,208],"cybercrime":[202],"investigation.":[203],"It":[204],"related":[212],"other":[214],"similar":[215],"communication":[216],"platforms":[217],"languages.":[219]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":2}],"updated_date":"2026-11-07T11:25:07.637180","created_date":"2021-12-06T00:00:00"}