{"id":"https://openalex.org/W2598621006","doi":"https://doi.org/10.1109/kst.2017.7886127","title":"Automated cyberbullying detection using clustering appearance patterns","display_name":"Automated cyberbullying detection using clustering appearance patterns","publication_year":2017,"publication_date":"2017-02-01","ids":{"openalex":"https://openalex.org/W2598621006","doi":"https://doi.org/10.1109/kst.2017.7886127","mag":"2598621006"},"language":"en","primary_location":{"id":"doi:10.1109/kst.2017.7886127","is_oa":false,"landing_page_url":"https://doi.org/10.1109/kst.2017.7886127","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 9th International Conference on Knowledge and Smart Technology (KST)","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/A5091290189","display_name":"Walisa Romsaiyud","orcid":"https://orcid.org/0000-0002-4529-8715"},"institutions":[{"id":"https://openalex.org/I60697786","display_name":"Sukhothai Thammathirat Open University","ror":"https://ror.org/00epajq42","country_code":"TH","type":"education","lineage":["https://openalex.org/I60697786"]}],"countries":["TH"],"is_corresponding":true,"raw_author_name":"Walisa Romsaiyud","raw_affiliation_strings":["School of Science and Technology, Sukhothai Thammathirat Open University, Pakkret, Nonthaburi, Thailand"],"affiliations":[{"raw_affiliation_string":"School of Science and Technology, Sukhothai Thammathirat Open University, Pakkret, Nonthaburi, Thailand","institution_ids":["https://openalex.org/I60697786"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012447893","display_name":"Kodchakorn Na Nakornphanom","orcid":null},"institutions":[{"id":"https://openalex.org/I60697786","display_name":"Sukhothai Thammathirat Open University","ror":"https://ror.org/00epajq42","country_code":"TH","type":"education","lineage":["https://openalex.org/I60697786"]}],"countries":["TH"],"is_corresponding":false,"raw_author_name":"Kodchakorn na Nakornphanom","raw_affiliation_strings":["School of Science and Technology, Sukhothai Thammathirat Open University, Pakkret, Nonthaburi, Thailand"],"affiliations":[{"raw_affiliation_string":"School of Science and Technology, Sukhothai Thammathirat Open University, Pakkret, Nonthaburi, Thailand","institution_ids":["https://openalex.org/I60697786"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033991782","display_name":"Pimpaka Prasertsilp","orcid":null},"institutions":[{"id":"https://openalex.org/I60697786","display_name":"Sukhothai Thammathirat Open University","ror":"https://ror.org/00epajq42","country_code":"TH","type":"education","lineage":["https://openalex.org/I60697786"]}],"countries":["TH"],"is_corresponding":false,"raw_author_name":"Pimpaka Prasertsilp","raw_affiliation_strings":["School of Science and Technology, Sukhothai Thammathirat Open University, Pakkret, Nonthaburi, Thailand"],"affiliations":[{"raw_affiliation_string":"School of Science and Technology, Sukhothai Thammathirat Open University, Pakkret, Nonthaburi, Thailand","institution_ids":["https://openalex.org/I60697786"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000435910","display_name":"Piyaporn Nurarak","orcid":null},"institutions":[{"id":"https://openalex.org/I60697786","display_name":"Sukhothai Thammathirat Open University","ror":"https://ror.org/00epajq42","country_code":"TH","type":"education","lineage":["https://openalex.org/I60697786"]}],"countries":["TH"],"is_corresponding":false,"raw_author_name":"Piyaporn Nurarak","raw_affiliation_strings":["School of Science and Technology, Sukhothai Thammathirat Open University, Pakkret, Nonthaburi, Thailand"],"affiliations":[{"raw_affiliation_string":"School of Science and Technology, Sukhothai Thammathirat Open University, Pakkret, Nonthaburi, Thailand","institution_ids":["https://openalex.org/I60697786"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5068586104","display_name":"Pirom Konglerd","orcid":null},"institutions":[{"id":"https://openalex.org/I60697786","display_name":"Sukhothai Thammathirat Open University","ror":"https://ror.org/00epajq42","country_code":"TH","type":"education","lineage":["https://openalex.org/I60697786"]}],"countries":["TH"],"is_corresponding":false,"raw_author_name":"Pirom Konglerd","raw_affiliation_strings":["School of Science and Technology, Sukhothai Thammathirat Open University, Pakkret, Nonthaburi, Thailand"],"affiliations":[{"raw_affiliation_string":"School of Science and Technology, Sukhothai Thammathirat Open University, Pakkret, Nonthaburi, Thailand","institution_ids":["https://openalex.org/I60697786"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5091290189"],"corresponding_institution_ids":["https://openalex.org/I60697786"],"apc_list":null,"apc_paid":null,"fwci":1.9502,"has_fulltext":false,"cited_by_count":37,"citation_normalized_percentile":{"value":0.89208682,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"242","last_page":"247"},"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/T10485","display_name":"Bullying, Victimization, and Aggression","score":0.9976000189781189,"subfield":{"id":"https://openalex.org/subfields/3207","display_name":"Social Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11135","display_name":"Virology and Viral Diseases","score":0.9567000269889832,"subfield":{"id":"https://openalex.org/subfields/2713","display_name":"Epidemiology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.8441574573516846},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7259014248847961},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5725370049476624},{"id":"https://openalex.org/keywords/naive-bayes-classifier","display_name":"Naive Bayes classifier","score":0.563776969909668},{"id":"https://openalex.org/keywords/multinomial-distribution","display_name":"Multinomial distribution","score":0.5390152335166931},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5336739420890808},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5200964212417603},{"id":"https://openalex.org/keywords/partition","display_name":"Partition (number theory)","score":0.5007274150848389},{"id":"https://openalex.org/keywords/k-means-clustering","display_name":"k-means clustering","score":0.45768773555755615},{"id":"https://openalex.org/keywords/bayes-theorem","display_name":"Bayes' theorem","score":0.42875537276268005},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.42392051219940186},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.34378373622894287},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.28623607754707336},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.24496030807495117},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1363426148891449},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.1291029453277588}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.8441574573516846},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7259014248847961},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5725370049476624},{"id":"https://openalex.org/C52001869","wikidata":"https://www.wikidata.org/wiki/Q812530","display_name":"Naive Bayes classifier","level":3,"score":0.563776969909668},{"id":"https://openalex.org/C192065140","wikidata":"https://www.wikidata.org/wiki/Q1147928","display_name":"Multinomial distribution","level":2,"score":0.5390152335166931},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5336739420890808},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5200964212417603},{"id":"https://openalex.org/C42812","wikidata":"https://www.wikidata.org/wiki/Q1082910","display_name":"Partition (number theory)","level":2,"score":0.5007274150848389},{"id":"https://openalex.org/C207968372","wikidata":"https://www.wikidata.org/wiki/Q310401","display_name":"k-means clustering","level":3,"score":0.45768773555755615},{"id":"https://openalex.org/C207201462","wikidata":"https://www.wikidata.org/wiki/Q182505","display_name":"Bayes' theorem","level":3,"score":0.42875537276268005},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.42392051219940186},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.34378373622894287},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.28623607754707336},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.24496030807495117},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1363426148891449},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.1291029453277588},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/kst.2017.7886127","is_oa":false,"landing_page_url":"https://doi.org/10.1109/kst.2017.7886127","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 9th International Conference on Knowledge and Smart Technology (KST)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7599999904632568,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W331312376","https://openalex.org/W1484795038","https://openalex.org/W1492737170","https://openalex.org/W1516790710","https://openalex.org/W1625644135","https://openalex.org/W1664695950","https://openalex.org/W1761167196","https://openalex.org/W1949687736","https://openalex.org/W2023511777","https://openalex.org/W2084473627","https://openalex.org/W2087430522","https://openalex.org/W2090928048","https://openalex.org/W2094714810","https://openalex.org/W2115727255","https://openalex.org/W2125460309","https://openalex.org/W2136824818","https://openalex.org/W2152077530","https://openalex.org/W2185255779","https://openalex.org/W2209227144","https://openalex.org/W2322777686","https://openalex.org/W2503349419","https://openalex.org/W2548428673","https://openalex.org/W2559422900","https://openalex.org/W2567439001","https://openalex.org/W4236110830","https://openalex.org/W4246198815","https://openalex.org/W4285719527","https://openalex.org/W4394658982","https://openalex.org/W6637089710","https://openalex.org/W6729434453"],"related_works":["https://openalex.org/W2955220190","https://openalex.org/W2052791731","https://openalex.org/W4320168697","https://openalex.org/W2117588607","https://openalex.org/W2305090462","https://openalex.org/W2073599813","https://openalex.org/W1976212024","https://openalex.org/W2031146169","https://openalex.org/W2055203911","https://openalex.org/W2417174640"],"abstract_inverted_index":{"Cyberbullying":[0],"is":[1,18],"an":[2,97],"activity":[3,17],"of":[4,65,76,96],"sending":[5],"threatening":[6],"messages":[7],"to":[8],"insult":[9],"person.":[10],"To":[11],"prevent":[12],"cyber":[13],"victimization":[14],"from":[15,48],"the":[16,23,29,63,74,84],"challenging.":[19],"This":[20],"paper":[21],"enhanced":[22],"Na\u00efve":[24],"Bayes":[25],"classifier":[26],"for":[27,82],"extracting":[28],"words":[30,66,77],"and":[31,56,72,94],"examining":[32],"loaded":[33],"pattern":[34],"clustering.":[35],"The":[36,87],"algorithm":[37],"included":[38],"two":[39],"main":[40],"methods:":[41],"(1)":[42],"creating":[43],"partitions":[44],"by":[45],"iteratively":[46],"relocating":[47],"entire":[49],"datasets":[50],"into":[51],"clusters":[52],"using":[53],"k-mean":[54],"clustering":[55],"(2)":[57],"capturing":[58],"any":[59],"specific":[60],"partition":[61],"with":[62,67],"frequency":[64],"multinomial":[68],"model":[69],"feature":[70],"vector":[71],"drawing":[73],"probability":[75],"occurring":[78],"in":[79,91],"a":[80],"document":[81],"predicting":[83],"eight":[85],"classes.":[86],"proposed":[88],"method":[89],"resulted":[90],"increasing":[92],"accuracy":[93],"reliability":[95],"experiment.":[98]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":11},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":7},{"year":2020,"cited_by_count":6},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}