{"id":"https://openalex.org/W1619992285","doi":"https://doi.org/10.1109/icacci.2015.7275970","title":"Machine learning approach for detection of cyber-aggressive comments by peers on social media network","display_name":"Machine learning approach for detection of cyber-aggressive comments by peers on social media network","publication_year":2015,"publication_date":"2015-08-01","ids":{"openalex":"https://openalex.org/W1619992285","doi":"https://doi.org/10.1109/icacci.2015.7275970","mag":"1619992285"},"language":"en","primary_location":{"id":"doi:10.1109/icacci.2015.7275970","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icacci.2015.7275970","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 International Conference on Advances in Computing, Communications and Informatics (ICACCI)","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/A5022690364","display_name":"Vikas S Chavan","orcid":null},"institutions":[{"id":"https://openalex.org/I196608512","display_name":"PES University","ror":"https://ror.org/05m169e78","country_code":"IN","type":"education","lineage":["https://openalex.org/I196608512"]},{"id":"https://openalex.org/I65674248","display_name":"Visvesvaraya Technological University","ror":"https://ror.org/00ha14p11","country_code":"IN","type":"education","lineage":["https://openalex.org/I65674248"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Vikas S Chavan","raw_affiliation_strings":["Department of Information Science and Engineering, Bangalore Visvesvaraya Technological University, India","Department of Information Science and Engineering, P.E.S Institute of Technology, Bangalore, India"],"affiliations":[{"raw_affiliation_string":"Department of Information Science and Engineering, Bangalore Visvesvaraya Technological University, India","institution_ids":["https://openalex.org/I65674248"]},{"raw_affiliation_string":"Department of Information Science and Engineering, P.E.S Institute of Technology, Bangalore, India","institution_ids":["https://openalex.org/I196608512"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5108721678","display_name":"S. S. Shylaja","orcid":null},"institutions":[{"id":"https://openalex.org/I196608512","display_name":"PES University","ror":"https://ror.org/05m169e78","country_code":"IN","type":"education","lineage":["https://openalex.org/I196608512"]},{"id":"https://openalex.org/I65674248","display_name":"Visvesvaraya Technological University","ror":"https://ror.org/00ha14p11","country_code":"IN","type":"education","lineage":["https://openalex.org/I65674248"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Shylaja S S","raw_affiliation_strings":["Department of Information Science and Engineering, Bangalore Visvesvaraya Technological University, India","Department of Information Science and Engineering, P.E.S Institute of Technology, Bangalore, India"],"affiliations":[{"raw_affiliation_string":"Department of Information Science and Engineering, Bangalore Visvesvaraya Technological University, India","institution_ids":["https://openalex.org/I65674248"]},{"raw_affiliation_string":"Department of Information Science and Engineering, P.E.S Institute of Technology, Bangalore, India","institution_ids":["https://openalex.org/I196608512"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5022690364"],"corresponding_institution_ids":["https://openalex.org/I196608512","https://openalex.org/I65674248"],"apc_list":null,"apc_paid":null,"fwci":9.379,"has_fulltext":false,"cited_by_count":148,"citation_normalized_percentile":{"value":0.97798633,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"2354","last_page":"2358"},"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":0.9932000041007996,"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/T11241","display_name":"Advanced Malware Detection Techniques","score":0.9688000082969666,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/offensive","display_name":"Offensive","score":0.8580030798912048},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6577683687210083},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.6062079668045044},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.5479745864868164},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.526310920715332},{"id":"https://openalex.org/keywords/emotion-detection","display_name":"Emotion detection","score":0.4336507320404053},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4214057922363281},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4201483428478241},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.32793623208999634},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.19283366203308105},{"id":"https://openalex.org/keywords/emotion-recognition","display_name":"Emotion recognition","score":0.15024298429489136},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.11014428734779358}],"concepts":[{"id":"https://openalex.org/C176856949","wikidata":"https://www.wikidata.org/wiki/Q2001676","display_name":"Offensive","level":2,"score":0.8580030798912048},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6577683687210083},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.6062079668045044},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.5479745864868164},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.526310920715332},{"id":"https://openalex.org/C2988148770","wikidata":"https://www.wikidata.org/wiki/Q1339090","display_name":"Emotion detection","level":3,"score":0.4336507320404053},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4214057922363281},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4201483428478241},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.32793623208999634},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.19283366203308105},{"id":"https://openalex.org/C2777438025","wikidata":"https://www.wikidata.org/wiki/Q1339090","display_name":"Emotion recognition","level":2,"score":0.15024298429489136},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.11014428734779358},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icacci.2015.7275970","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icacci.2015.7275970","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 International Conference on Advances in Computing, Communications and Informatics (ICACCI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.5899999737739563,"display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W927971848","https://openalex.org/W1527758775","https://openalex.org/W1541379032","https://openalex.org/W1638659076","https://openalex.org/W1999301235","https://openalex.org/W2034757259","https://openalex.org/W2047449974","https://openalex.org/W2209227144","https://openalex.org/W3151392175","https://openalex.org/W6632417698","https://openalex.org/W6636719820","https://openalex.org/W6688201194"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W1568520348","https://openalex.org/W3214407891","https://openalex.org/W3194113117","https://openalex.org/W3213194066","https://openalex.org/W2967125893","https://openalex.org/W268355439","https://openalex.org/W4287020359","https://openalex.org/W4385323698","https://openalex.org/W3127690360"],"abstract_inverted_index":{"The":[0],"fast":[1],"growing":[2],"use":[3,23],"of":[4,24,37,104],"social":[5],"networking":[6],"sites":[7],"among":[8],"the":[9,22,102,105],"teens":[10,38],"have":[11,46],"made":[12],"them":[13],"vulnerable":[14],"to":[15,18,49,64,92],"get":[16],"exposed":[17],"bullying.":[19],"Cyberbullying":[20],"is":[21],"computers":[25],"and":[26,39,76,99],"mobiles":[27],"for":[28,61],"bullying":[29],"activities.":[30],"Comments":[31],"containing":[32],"abusive":[33],"words":[34],"effect":[35],"psychology":[36],"demoralizes":[40],"them.":[41],"In":[42],"this":[43],"paper":[44],"we":[45],"devised":[47],"methods":[48],"detect":[50,65],"cyberbullying":[51],"using":[52,85],"supervised":[53],"learning":[54],"techniques.":[55],"We":[56],"present":[57],"two":[58],"new":[59],"hypotheses":[60,89],"feature":[62,94],"extraction":[63,95],"offensive":[66],"comments":[67],"directed":[68],"towards":[69],"peers":[70],"which":[71],"are":[72],"perceived":[73],"more":[74],"negatively":[75],"result":[77],"in":[78,90],"cyberbullying.":[79],"Our":[80],"initial":[81],"experiments":[82],"show":[83],"that":[84],"features":[86],"from":[87],"our":[88],"addition":[91],"traditional":[93],"techniques":[96],"like":[97],"TF-IDF":[98],"N-gram":[100],"increases":[101],"accuracy":[103],"system.":[106]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":24},{"year":2023,"cited_by_count":20},{"year":2022,"cited_by_count":17},{"year":2021,"cited_by_count":25},{"year":2020,"cited_by_count":20},{"year":2019,"cited_by_count":15},{"year":2018,"cited_by_count":13},{"year":2017,"cited_by_count":5},{"year":2016,"cited_by_count":3}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}
