{"id":"https://openalex.org/W2955831679","doi":"https://doi.org/10.18653/v1/s19-2118","title":"JU_ETCE_17_21 at SemEval-2019 Task 6: Efficient Machine Learning and Neural Network Approaches for Identifying and Categorizing Offensive Language in Tweets","display_name":"JU_ETCE_17_21 at SemEval-2019 Task 6: Efficient Machine Learning and Neural Network Approaches for Identifying and Categorizing Offensive Language in Tweets","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2955831679","doi":"https://doi.org/10.18653/v1/s19-2118","mag":"2955831679"},"language":"en","primary_location":{"id":"doi:10.18653/v1/s19-2118","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/s19-2118","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 13th International Workshop on Semantic Evaluation","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.18653/v1/s19-2118","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5061146332","display_name":"Preeti Mukherjee","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Preeti Mukherjee","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006828972","display_name":"Mainak Pal","orcid":"https://orcid.org/0000-0002-0206-2112"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mainak Pal","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074867889","display_name":"Somnath Banerjee","orcid":"https://orcid.org/0000-0002-4947-7649"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Somnath Banerjee","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5070618344","display_name":"Sudip Kumar Naskar","orcid":"https://orcid.org/0000-0003-1588-4665"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sudip Kumar Naskar","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.4338,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.71488189,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"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"}}],"keywords":[{"id":"https://openalex.org/keywords/semeval","display_name":"SemEval","score":0.8690369725227356},{"id":"https://openalex.org/keywords/word2vec","display_name":"Word2vec","score":0.7901790142059326},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7854064702987671},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7006162405014038},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.7000303864479065},{"id":"https://openalex.org/keywords/offensive","display_name":"Offensive","score":0.6631484627723694},{"id":"https://openalex.org/keywords/language-identification","display_name":"Language identification","score":0.6285868883132935},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.6242156624794006},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5854740738868713},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.5354049205780029},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.49049752950668335},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4781656861305237},{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.4272356927394867},{"id":"https://openalex.org/keywords/categorization","display_name":"Categorization","score":0.4245818257331848},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.385794460773468},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.364146888256073},{"id":"https://openalex.org/keywords/natural-language","display_name":"Natural language","score":0.19388216733932495},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.07141447067260742},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.06486198306083679}],"concepts":[{"id":"https://openalex.org/C44572571","wikidata":"https://www.wikidata.org/wiki/Q7448970","display_name":"SemEval","level":3,"score":0.8690369725227356},{"id":"https://openalex.org/C2776461190","wikidata":"https://www.wikidata.org/wiki/Q22673982","display_name":"Word2vec","level":3,"score":0.7901790142059326},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7854064702987671},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7006162405014038},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.7000303864479065},{"id":"https://openalex.org/C176856949","wikidata":"https://www.wikidata.org/wiki/Q2001676","display_name":"Offensive","level":2,"score":0.6631484627723694},{"id":"https://openalex.org/C129792486","wikidata":"https://www.wikidata.org/wiki/Q1050419","display_name":"Language identification","level":3,"score":0.6285868883132935},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.6242156624794006},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5854740738868713},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.5354049205780029},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.49049752950668335},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4781656861305237},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.4272356927394867},{"id":"https://openalex.org/C94124525","wikidata":"https://www.wikidata.org/wiki/Q912550","display_name":"Categorization","level":2,"score":0.4245818257331848},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.385794460773468},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.364146888256073},{"id":"https://openalex.org/C195324797","wikidata":"https://www.wikidata.org/wiki/Q33742","display_name":"Natural language","level":2,"score":0.19388216733932495},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.07141447067260742},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.06486198306083679},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"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:10.18653/v1/s19-2118","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/s19-2118","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 13th International Workshop on Semantic Evaluation","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18653/v1/s19-2118","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/s19-2118","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 13th International Workshop on Semantic Evaluation","raw_type":"proceedings-article"},"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.4399999976158142}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W2595653137","https://openalex.org/W2739978796","https://openalex.org/W2740168486","https://openalex.org/W2797630160","https://openalex.org/W2806872289","https://openalex.org/W2887782043","https://openalex.org/W2912102236","https://openalex.org/W2922580172","https://openalex.org/W2962932155","https://openalex.org/W2962977603","https://openalex.org/W2962993339","https://openalex.org/W2963943967","https://openalex.org/W3013027210"],"related_works":["https://openalex.org/W2752801317","https://openalex.org/W4386566602","https://openalex.org/W4200241924","https://openalex.org/W3023322875","https://openalex.org/W2922580172","https://openalex.org/W3041909748","https://openalex.org/W3117476642","https://openalex.org/W3184118381","https://openalex.org/W3081866152","https://openalex.org/W4287674457"],"abstract_inverted_index":{"This":[0],"paper":[1],"describes":[2],"our":[3,9],"system":[4],"submissions":[5,133],"as":[6,65,67],"part":[7],"of":[8,49],"participation":[10],"(team":[11],"name:":[12],"JU_ETCE_17_21)":[13],"in":[14,28,33],"the":[15,35,72,105],"SemEval":[16],"2019":[17],"shared":[18],"task":[19],"6:":[20],"\u201cOffensEval:":[21],"Identifying":[22],"and":[23,53,80,98,122,137,145],"Catego-":[24],"rizing":[25],"Offensive":[26],"Language":[27],"Social":[29],"Media\u201d.":[30],"We":[31,60,74,94,103],"participated":[32],"all":[34],"three":[36],"sub-tasks:":[37],"i)":[38],"Sub-task":[39,45,55],"A:":[40],"offensive":[41],"language":[42],"identification,":[43],"ii)":[44],"B:":[46],"automatic":[47],"categorization":[48],"of-":[50],"fense":[51],"types,":[52],"iii)":[54],"C:":[56],"offense":[57],"target":[58],"identification.":[59],"employed":[61,75],"machine":[62],"learn-":[63],"ing":[64],"well":[66],"deep":[68],"learning":[69],"approaches":[70],"for":[71,113,119,128,140],"sub-tasks.":[73],"Convolutional":[76],"Neural":[77],"Network":[78,84],"(CNN)":[79],"Recursive":[81],"Neu-":[82],"ral":[83],"(RNN)":[85],"Long":[86],"Short-Term":[87],"Memory":[88],"(LSTM)":[89],"with":[90],"pre-trained":[91,100],"word":[92,101],"embeddings.":[93,102],"used":[95],"both":[96],"word2vec":[97],"Glove":[99],"obtained":[104],"best":[106,132],"F1-":[107],"score":[108],"using":[109],"CNN":[110],"based":[111,117,126],"model":[112,118,127],"sub-task":[114,120,129,141,143,146],"A,":[115,142],"LSTM":[116],"B":[121,144],"Lo-":[123],"gistic":[124],"Regression":[125],"C.":[130],"Our":[131],"achieved":[134],"0.7844,":[135],"0.5459":[136],"0.48":[138],"F1-scores":[139],"C":[147],"respectively.":[148]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}