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of 26
pro vyhledávání: '"Mukherjee, Debdoot"'
Autor:
Mittal, Trisha, Mathur, Puneet, Chandra, Rohan, Bhatt, Apurva, Gupta, Vikram, Mukherjee, Debdoot, Bera, Aniket, Manocha, Dinesh
We present a computational approach for estimating emotion contagion on social media networks. Built on a foundation of psychology literature, our approach estimates the degree to which the perceivers' emotional states (positive or negative) start to
Externí odkaz:
http://arxiv.org/abs/2207.07165
The presence of abusive content on social media platforms is undesirable as it severely impedes healthy and safe social media interactions. While automatic abuse detection has been widely explored in textual domain, audio abuse detection still remain
Externí odkaz:
http://arxiv.org/abs/2204.02263
Autor:
Gupta, Vikram, Mittal, Trisha, Mathur, Puneet, Mishra, Vaibhav, Maheshwari, Mayank, Bera, Aniket, Mukherjee, Debdoot, Manocha, Dinesh
We present 3MASSIV, a multilingual, multimodal and multi-aspect, expertly-annotated dataset of diverse short videos extracted from short-video social media platform - Moj. 3MASSIV comprises of 50k short videos (20 seconds average duration) and 100K u
Externí odkaz:
http://arxiv.org/abs/2203.14456
Abusive content detection in spoken text can be addressed by performing Automatic Speech Recognition (ASR) and leveraging advancements in natural language processing. However, ASR models introduce latency and often perform sub-optimally for profane w
Externí odkaz:
http://arxiv.org/abs/2202.07991
We propose a friend recommendation system (an application of link prediction) using edge embeddings on social networks. Most real-world social networks are multi-graphs, where different kinds of relationships (e.g. chat, friendship) are possible betw
Externí odkaz:
http://arxiv.org/abs/1902.03124
Stickers are popularly used in messaging apps such as Hike to visually express a nuanced range of thoughts and utterances to convey exaggerated emotions. However, discovering the right sticker from a large and ever expanding pool of stickers while ch
Externí odkaz:
http://arxiv.org/abs/1902.02704
Publikováno v:
Advances in Knowledge Discovery and Data Mining
Learning efficient representation of graphs has recently been studied extensively for simple networks to facilitate various downstream applications. In this paper, we deal with a more generalized graph structure, called multigraph (multiple edges of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmc_________::583e741794bde90b026bd45125853cea
http://europepmc.org/articles/PMC7206153
http://europepmc.org/articles/PMC7206153
Akademický článek
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Autor:
Akkiraju, Rama, Smith, Mark, Greenia, Daniel, Jiang, Shun, Nakamura, Taiga, Mukherjee, Debdoot, Pusapaty, Shyam
Publikováno v:
2014 Annual SRII Global Conference; 2014, p55-64, 10p
Autor:
Mani, Senthil, Nagar, Seema, Mukherjee, Debdoot, Narayanam, Ramasuri, Sinha, Vibha Singhal, Nanavati, Amit A.
Publikováno v:
2013 10th Working Conference on Mining Software Repositories (MSR); 2013, p193-202, 10p