Zobrazeno 1 - 10
of 23
pro vyhledávání: '"Ponnusamy, Rahul"'
Autor:
Ravikiran, Manikandan, Chakravarthi, Bharathi Raja, Madasamy, Anand Kumar, Sivanesan, Sangeetha, Rajalakshmi, Ratnavel, Thavareesan, Sajeetha, Ponnusamy, Rahul, Mahadevan, Shankar
Offensive content moderation is vital in social media platforms to support healthy online discussions. However, their prevalence in codemixed Dravidian languages is limited to classifying whole comments without identifying part of it contributing to
Externí odkaz:
http://arxiv.org/abs/2205.06118
Autor:
Vasantharajan, Charangan, Benhur, Sean, Kumarasen, Prasanna Kumar, Ponnusamy, Rahul, Thangasamy, Sathiyaraj, Priyadharshini, Ruba, Durairaj, Thenmozhi, Sivanraju, Kanchana, Sampath, Anbukkarasi, Chakravarthi, Bharathi Raja, McCrae, John Phillip
Emotional Analysis from textual input has been considered both a challenging and interesting task in Natural Language Processing. However, due to the lack of datasets in low-resource languages (i.e. Tamil), it is difficult to conduct research of high
Externí odkaz:
http://arxiv.org/abs/2202.04725
Autor:
Chakravarthi, Bharathi Raja, Priyadharshini, Ruba, Thavareesan, Sajeetha, Chinnappa, Dhivya, Thenmozhi, Durairaj, Sherly, Elizabeth, McCrae, John P., Hande, Adeep, Ponnusamy, Rahul, Banerjee, Shubhanker, Vasantharajan, Charangan
We present the results of the Dravidian-CodeMix shared task held at FIRE 2021, a track on sentiment analysis for Dravidian Languages in Code-Mixed Text. We describe the task, its organization, and the submitted systems. This shared task is the contin
Externí odkaz:
http://arxiv.org/abs/2111.09811
Autor:
Chakravarthi, Bharathi Raja, Chinnappa, Dhivya, Priyadharshini, Ruba, Madasamy, Anand Kumar, Sivanesan, Sangeetha, Navaneethakrishnan, Subalalitha Chinnaudayar, Thavareesan, Sajeetha, Vadivel, Dhanalakshmi, Ponnusamy, Rahul, Kumaresan, Prasanna Kumar
With the fast growth of mobile computing and Web technologies, offensive language has become more prevalent on social networking platforms. Since offensive language identification in local languages is essential to moderate the social media content,
Externí odkaz:
http://arxiv.org/abs/2111.03375
Autor:
Chakravarthi, Bharathi Raja, Priyadharshini, Ruba, Ponnusamy, Rahul, Kumaresan, Prasanna Kumar, Sampath, Kayalvizhi, Thenmozhi, Durairaj, Thangasamy, Sathiyaraj, Nallathambi, Rajendran, McCrae, John Phillip
The increased proliferation of abusive content on social media platforms has a negative impact on online users. The dread, dislike, discomfort, or mistrust of lesbian, gay, transgender or bisexual persons is defined as homophobia/transphobia. Homopho
Externí odkaz:
http://arxiv.org/abs/2109.00227
Autor:
Jindal, Nitesh, Kumaresan, Prasanna Kumar, Ponnusamy, Rahul, Thavareesan, Sajeetha, Rajiakodi, Saranya, Chakravarthi, Bharathi Raja
Publikováno v:
In Natural Language Processing Journal June 2024 7
Autor:
Hande, Adeep, Hegde, Siddhanth U, Priyadharshini, Ruba, Ponnusamy, Rahul, Kumaresan, Prasanna Kumar, Thavareesan, Sajeetha, Chakravarthi, Bharathi Raja
To obtain extensive annotated data for under-resourced languages is challenging, so in this research, we have investigated whether it is beneficial to train models using multi-task learning. Sentiment analysis and offensive language identification sh
Externí odkaz:
http://arxiv.org/abs/2108.03867
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
Autor:
Kumaresan, Prasanna Kumar, Ponnusamy, Rahul, Priyadharshini, Ruba, Buitelaar, Paul, Chakravarthi, Bharathi Raja
Publikováno v:
In Natural Language Processing Journal December 2023 5
Autor:
Chakravarthi, Bharathi Raja, Priyadharshini, Ruba, Banerjee, Shubanker, Jagadeeshan, Manoj Balaji, Kumaresan, Prasanna Kumar, Ponnusamy, Rahul, Benhur, Sean, McCrae, John Philip
Publikováno v:
In Natural Language Processing Journal June 2023 3