{"id":"https://openalex.org/W3091338440","doi":"https://doi.org/10.1109/ijcnn48605.2020.9207640","title":"LSHWE: Improving Similarity-Based Word Embedding with Locality Sensitive Hashing for Cyberbullying Detection","display_name":"LSHWE: Improving Similarity-Based Word Embedding with Locality Sensitive Hashing for Cyberbullying Detection","publication_year":2020,"publication_date":"2020-07-01","ids":{"openalex":"https://openalex.org/W3091338440","doi":"https://doi.org/10.1109/ijcnn48605.2020.9207640","mag":"3091338440"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn48605.2020.9207640","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn48605.2020.9207640","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 International Joint Conference on Neural Networks (IJCNN)","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/A5101521680","display_name":"Zehua Zhao","orcid":"https://orcid.org/0000-0001-7965-4274"},"institutions":[{"id":"https://openalex.org/I158842170","display_name":"Chongqing University","ror":"https://ror.org/023rhb549","country_code":"CN","type":"education","lineage":["https://openalex.org/I158842170"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zehua Zhao","raw_affiliation_strings":["School of Big Data and Software Engineering, Chongqing University, Chongqing, China"],"affiliations":[{"raw_affiliation_string":"School of Big Data and Software Engineering, Chongqing University, Chongqing, China","institution_ids":["https://openalex.org/I158842170"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002210013","display_name":"Min Gao","orcid":"https://orcid.org/0000-0003-0127-7477"},"institutions":[{"id":"https://openalex.org/I158842170","display_name":"Chongqing University","ror":"https://ror.org/023rhb549","country_code":"CN","type":"education","lineage":["https://openalex.org/I158842170"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Min Gao","raw_affiliation_strings":["School of Big Data and Software Engineering, Chongqing University, Chongqing, China"],"affiliations":[{"raw_affiliation_string":"School of Big Data and Software Engineering, Chongqing University, Chongqing, China","institution_ids":["https://openalex.org/I158842170"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042415302","display_name":"Fengji Luo","orcid":"https://orcid.org/0000-0003-4041-6062"},"institutions":[{"id":"https://openalex.org/I129604602","display_name":"University of Sydney","ror":"https://ror.org/0384j8v12","country_code":"AU","type":"education","lineage":["https://openalex.org/I129604602"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Fengji Luo","raw_affiliation_strings":["School of Civil Engineering, The University of Sydney, Sydney, Australia"],"affiliations":[{"raw_affiliation_string":"School of Civil Engineering, The University of Sydney, Sydney, Australia","institution_ids":["https://openalex.org/I129604602"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5115603611","display_name":"Yi Zhang","orcid":"https://orcid.org/0000-0001-6223-4724"},"institutions":[{"id":"https://openalex.org/I158842170","display_name":"Chongqing University","ror":"https://ror.org/023rhb549","country_code":"CN","type":"education","lineage":["https://openalex.org/I158842170"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yi Zhang","raw_affiliation_strings":["School of Big Data and Software Engineering, Chongqing University, Chongqing, China"],"affiliations":[{"raw_affiliation_string":"School of Big Data and Software Engineering, Chongqing University, Chongqing, China","institution_ids":["https://openalex.org/I158842170"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5044493248","display_name":"Qingyu Xiong","orcid":"https://orcid.org/0000-0003-0976-2397"},"institutions":[{"id":"https://openalex.org/I158842170","display_name":"Chongqing University","ror":"https://ror.org/023rhb549","country_code":"CN","type":"education","lineage":["https://openalex.org/I158842170"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qingyu Xiong","raw_affiliation_strings":["School of Big Data and Software Engineering, Chongqing University, Chongqing, China"],"affiliations":[{"raw_affiliation_string":"School of Big Data and Software Engineering, Chongqing University, Chongqing, China","institution_ids":["https://openalex.org/I158842170"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5101521680"],"corresponding_institution_ids":["https://openalex.org/I158842170"],"apc_list":null,"apc_paid":null,"fwci":1.0986,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.82439032,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12262","display_name":"Hate Speech and Cyberbullying Detection","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/T12262","display_name":"Hate Speech and Cyberbullying Detection","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/T11241","display_name":"Advanced Malware Detection Techniques","score":0.9793999791145325,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T11644","display_name":"Spam and Phishing Detection","score":0.9747999906539917,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/locality-sensitive-hashing","display_name":"Locality-sensitive hashing","score":0.9178282022476196},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8019278049468994},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.5958527326583862},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5698769688606262},{"id":"https://openalex.org/keywords/k-nearest-neighbors-algorithm","display_name":"k-nearest neighbors algorithm","score":0.5662588477134705},{"id":"https://openalex.org/keywords/autoencoder","display_name":"Autoencoder","score":0.5624093413352966},{"id":"https://openalex.org/keywords/nearest-neighbor-search","display_name":"Nearest neighbor search","score":0.504515528678894},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.49871301651000977},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.48276486992836},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.4700654447078705},{"id":"https://openalex.org/keywords/hash-function","display_name":"Hash function","score":0.445825457572937},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.43406394124031067},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.43398919701576233},{"id":"https://openalex.org/keywords/word-embedding","display_name":"Word embedding","score":0.43213385343551636},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.41313281655311584},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.19719448685646057},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.1848621964454651},{"id":"https://openalex.org/keywords/hash-table","display_name":"Hash table","score":0.13871967792510986},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11575976014137268}],"concepts":[{"id":"https://openalex.org/C74270461","wikidata":"https://www.wikidata.org/wiki/Q1625299","display_name":"Locality-sensitive hashing","level":4,"score":0.9178282022476196},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8019278049468994},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.5958527326583862},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5698769688606262},{"id":"https://openalex.org/C113238511","wikidata":"https://www.wikidata.org/wiki/Q1071612","display_name":"k-nearest neighbors algorithm","level":2,"score":0.5662588477134705},{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.5624093413352966},{"id":"https://openalex.org/C116738811","wikidata":"https://www.wikidata.org/wiki/Q608751","display_name":"Nearest neighbor search","level":2,"score":0.504515528678894},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.49871301651000977},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.48276486992836},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.4700654447078705},{"id":"https://openalex.org/C99138194","wikidata":"https://www.wikidata.org/wiki/Q183427","display_name":"Hash function","level":2,"score":0.445825457572937},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.43406394124031067},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.43398919701576233},{"id":"https://openalex.org/C2777462759","wikidata":"https://www.wikidata.org/wiki/Q18395344","display_name":"Word embedding","level":3,"score":0.43213385343551636},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.41313281655311584},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.19719448685646057},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.1848621964454651},{"id":"https://openalex.org/C67388219","wikidata":"https://www.wikidata.org/wiki/Q207440","display_name":"Hash table","level":3,"score":0.13871967792510986},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11575976014137268},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","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/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn48605.2020.9207640","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn48605.2020.9207640","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","score":0.6800000071525574,"display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":50,"referenced_works":["https://openalex.org/W1578102511","https://openalex.org/W1605683126","https://openalex.org/W1614298861","https://openalex.org/W2012833704","https://openalex.org/W2038276547","https://openalex.org/W2119195667","https://openalex.org/W2145065594","https://openalex.org/W2147717514","https://openalex.org/W2165489143","https://openalex.org/W2250539671","https://openalex.org/W2250879510","https://openalex.org/W2259779547","https://openalex.org/W2323454236","https://openalex.org/W2340954483","https://openalex.org/W2400976407","https://openalex.org/W2473555522","https://openalex.org/W2508035001","https://openalex.org/W2554521881","https://openalex.org/W2571724323","https://openalex.org/W2595230631","https://openalex.org/W2613977835","https://openalex.org/W2740168486","https://openalex.org/W2741065173","https://openalex.org/W2783792814","https://openalex.org/W2787481916","https://openalex.org/W2798651446","https://openalex.org/W2811318564","https://openalex.org/W2896457183","https://openalex.org/W2907419877","https://openalex.org/W2950577311","https://openalex.org/W2963341956","https://openalex.org/W2963490918","https://openalex.org/W2963793818","https://openalex.org/W2972428398","https://openalex.org/W2988157054","https://openalex.org/W2988533489","https://openalex.org/W3103061166","https://openalex.org/W4230940751","https://openalex.org/W4232149520","https://openalex.org/W4285719527","https://openalex.org/W6636510571","https://openalex.org/W6692255603","https://openalex.org/W6700893402","https://openalex.org/W6712497657","https://openalex.org/W6725175010","https://openalex.org/W6747901383","https://openalex.org/W6747945526","https://openalex.org/W6748355100","https://openalex.org/W6752970257","https://openalex.org/W6755207826"],"related_works":["https://openalex.org/W2148008870","https://openalex.org/W2381195555","https://openalex.org/W3094967175","https://openalex.org/W2368606575","https://openalex.org/W4246757943","https://openalex.org/W2045263322","https://openalex.org/W2166822184","https://openalex.org/W3096071782","https://openalex.org/W2902799860","https://openalex.org/W4289129280"],"abstract_inverted_index":{"Word":[0],"embedding":[1,29,88],"methods":[2,30],"use":[3],"low-dimensional":[4,13],"vectors":[5,14],"to":[6,52,58,92,128,149,171,180,187,195],"represent":[7,41,231],"words":[8,55,64,105,178,236],"in":[9,35,56,214,237],"the":[10,22,123,129,133,159,166,173,189,197,202,210,219],"corpus.":[11],"Such":[12],"can":[15,230],"capture":[16],"lexical":[17],"semantics":[18],"and":[19,76,132,201],"greatly":[20],"improve":[21,188],"cyberbullying":[23,36,215],"detection":[24,37],"performance.":[25],"However,":[26],"existing":[27],"word":[28,87,151],"have":[31,106],"a":[32,72,86,107,238,242],"major":[33],"limitation":[34],"task:":[38],"they":[39],"cannot":[40],"well":[42],"on":[43,99,154,218,241],"\"deliberately":[44,220],"obfuscated":[45,63,104,177,221],"words\",":[46],"which":[47,96],"are":[48,65,77],"used":[49,170],"by":[50,138,165],"users":[51],"replace":[53],"bullying":[54,114,183],"order":[57,186],"evade":[59],"detection.":[60],"These":[61],"deliberately":[62,103,176],"often":[66],"regarded":[67],"as":[68],"\"rare":[69],"words\"":[70,222],"with":[71,111],"little":[73],"contextual":[74],"information":[75],"removed":[78],"during":[79],"preprocessing.":[80],"In":[81,185],"this":[82,94],"paper,":[83],"we":[84],"propose":[85],"method":[89],"called":[90],"LSHWE":[91,116,192,213,225],"solve":[93],"limitation,":[95],"is":[97,169,226],"based":[98,153],"an":[100,146],"idea":[101],"that":[102],"high":[108],"context":[109],"similarity":[110],"their":[112,181],"corresponding":[113,182],"words.":[115,184],"has":[117],"two":[118,156],"steps:":[119],"firstly,":[120],"it":[121,144,229],"generates":[122],"nearest":[124,134,161,198,204],"neighbor":[125,135,162,199,205],"matrix":[126,131,163],"according":[127],"co-occurrence":[130],"list":[136,200],"obtained":[137],"Locality":[139],"Sensitive":[140],"Hashing":[141],"(LSH);":[142],"secondly,":[143],"uses":[145,193],"LSH-based":[147,167],"autoencoder":[148,168],"learn":[150],"representations":[152,174],"these":[155],"matrices.":[157],"Especially,":[158],"reconstructed":[160,203],"generated":[164],"make":[172],"of":[175,212,233,235],"close":[179],"algorithm":[190],"efficiency,":[191],"LSH":[194],"generate":[196],"list.":[206],"Empirical":[207],"experiments":[208],"prove":[209],"effectiveness":[211],"detection,":[216],"particularly":[217],"problem.":[223],"Moreover,":[224],"highly":[227],"efficient,":[228],"tens":[232],"thousands":[234],"few":[239],"minutes":[240],"typical":[243],"single":[244],"machine.":[245]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
