Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Steve Durairaj Swamy"'
Publikováno v:
SemEval@COLING
The paper describes the systems submitted to SemEval-2020 Task 8: Memotion by the `NIT-Agartala-NLP-Team'. A dataset of 8879 memes was made available by the task organizers to train and test our models. Our systems include a Logistic Regression basel
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6444544d5e4473911493566236d072d3
Publikováno v:
Communications in Computer and Information Science ISBN: 9789811563140
Detection of events from Twitter has been one of the significant areas in the Text Mining domain due to the volume of content generated by online users. Twitter is considered as one of the top sources for disseminating information to the users. Due t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f592065b0d2852b4a2eae0b1705622bf
https://doi.org/10.1007/978-981-15-6315-7_5
https://doi.org/10.1007/978-981-15-6315-7_5
Publikováno v:
Scopus-Elsevier
CoNLL
CoNLL
Work on Abusive Language Detection has tackled a wide range of subtasks and domains. As a result of this, there exists a great deal of redundancy and non-generalisability between datasets. Through experiments on cross-dataset training and testing, th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::142ee80d81e5c09bd033d6909c731ae0
https://hdl.handle.net/11250/2628214
https://hdl.handle.net/11250/2628214
Publikováno v:
International Journal on Artificial Intelligence Tools. 29:2050014
Sentiment analysis is a circumstantial analysis of text, identifying the social sentiment to better understand the source material. The article addresses sentiment analysis of an English-Hindi and English-Bengali code-mixed textual corpus collected f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0517a2abe79ae9151df92dca1bf9615d
https://doi.org/10.1142/s0218213020500141
https://doi.org/10.1142/s0218213020500141
Publikováno v:
Scopus-Elsevier
SemEval@NAACL-HLT
SemEval@NAACL-HLT
The paper describes the systems submitted to OffensEval (SemEval 2019, Task 6) on ‘Identifying and Categorizing Offensive Language in Social Media’ by the ‘NIT_Agartala_NLP_Team’. A Twitter annotated dataset of 13,240 English tweets was provi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6f090b634a5984edfc2a29d9d255b8b7
http://www.scopus.com/inward/record.url?eid=2-s2.0-85093449550&partnerID=MN8TOARS
http://www.scopus.com/inward/record.url?eid=2-s2.0-85093449550&partnerID=MN8TOARS