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pro vyhledávání: '"Thamburaj, Kingston Pal"'
Autor:
Jada, Pawan Kalyan, Yasaswini, Konthala, Puranik, Karthik, Sampath, Anbukkarasi, Thangasamy, Sathiyaraj, Thamburaj, Kingston Pal
To tackle the conundrum of detecting offensive comments/posts which are considerably informal, unstructured, miswritten and code-mixed, we introduce two inventive methods in this research paper. Offensive comments/posts on the social media platforms,
Externí odkaz:
http://arxiv.org/abs/2111.09836
Autor:
Puranik, Karthik, Hande, Adeep, Priyadharshini, Ruba, Durairaj, Thenmozhi, Sampath, Anbukkarasi, Thamburaj, Kingston Pal, Chakravarthi, Bharathi Raja
This paper reports the Machine Translation (MT) systems submitted by the IIITT team for the English->Marathi and English->Irish language pairs LoResMT 2021 shared task. The task focuses on getting exceptional translations for rather low-resourced lan
Externí odkaz:
http://arxiv.org/abs/2108.08556
Autor:
Hande, Adeep, Priyadharshini, Ruba, Sampath, Anbukkarasi, Thamburaj, Kingston Pal, Chandran, Prabakaran, Chakravarthi, Bharathi Raja
Numerous methods have been developed to monitor the spread of negativity in modern years by eliminating vulgar, offensive, and fierce comments from social media platforms. However, there are relatively lesser amounts of study that converges on embrac
Externí odkaz:
http://arxiv.org/abs/2108.04616
Autor:
Chakravarthi, Bharathi Raja, K, Jishnu Parameswaran P., B, Premjith, Soman, K. P, Ponnusamy, Rahul, Kumaresan, Prasanna Kumar, Thamburaj, Kingston Pal, McCrae, John P.
Human communication is inherently multimodal and asynchronous. Analyzing human emotions and sentiment is an emerging field of artificial intelligence. We are witnessing an increasing amount of multimodal content in local languages on social media abo
Externí odkaz:
http://arxiv.org/abs/2106.04853
Publikováno v:
In Procedia - Social and Behavioral Sciences 12 February 2015 174:2084-2089
Akademický článek
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