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Santanu Pal

Biographic Data

ID10055192
NAMESantanu Pal
GIVEN NAMESSantanu
FAMILY NAMEPal
SIGNATUREPAL S
AFFILIATIONSWipro (India)
ORCID0000-0003-3079-6903
VERIFIEDYes
TOTAL WORKS2
TOTAL CITATIONS0
AUTHOR COUNT2
EDITOR COUNT0
FIRST PUBLICATION YEAR2024
LATEST PUBLICATION YEAR2024
H-INDEX0
  • Let's All Laugh Together: A Novel Multitask Framework for Humor Detection in Internet Memes

    Open Access•Gitanjali Kumari, Dibyanayan Bandyopadhyay et al.•ARTICLE•IEEE Transactions on Computational…•2024

    Recognizing humor in meme data is a challenging task in natural language processing (NLP) and computer vision (CV) due to the complexity and variability of humor. With the explosive growth of Internet memes on social media platforms such as Facebook, Twitter, and Instagram, this task has become more important. However, there have been few studies that investigate humor recognition from memes, particularly in languages other than English. In this …

  • Hybrid Quantum-Classical Neural Network for Multimodal Multitask Sarcasm, Emotion, and Sentiment Analysis

    Open Access•Arpan Phukan, Santanu Pal et al.•ARTICLE•IEEE Transactions on Computational…•2024

    Sarcasm detection in unimodal or multimodal setting is a very complex task. Sarcasm, emotion, and sentiment are related to each other, and hence any multitask model could be an effective way to leverage the interdependence among these tasks. In order to better represent these clandestine associations, we avoid solely relying on traditional machine learning methods to encode the relationships between the modalities. In this article, we propose a h…

No prominent works on this page.

  • Let's All Laugh Together: A Novel Multitask Framework for Humor Detection in Internet Memes

    Open Access•Gitanjali Kumari, Dibyanayan Bandyopadhyay et al.•ARTICLE•IEEE Transactions on Computational…•2024

    Recognizing humor in meme data is a challenging task in natural language processing (NLP) and computer vision (CV) due to the complexity and variability of humor. With the explosive growth of Internet memes on social media platforms such as Facebook, Twitter, and Instagram, this task has become more important. However, there have been few studies that investigate humor recognition from memes, particularly in languages other than English. In this …

  • Hybrid Quantum-Classical Neural Network for Multimodal Multitask Sarcasm, Emotion, and Sentiment Analysis

    Open Access•Arpan Phukan, Santanu Pal et al.•ARTICLE•IEEE Transactions on Computational…•2024

    Sarcasm detection in unimodal or multimodal setting is a very complex task. Sarcasm, emotion, and sentiment are related to each other, and hence any multitask model could be an effective way to leverage the interdependence among these tasks. In order to better represent these clandestine associations, we avoid solely relying on traditional machine learning methods to encode the relationships between the modalities. In this article, we propose a h…

Artificial Intelligence (2 works) · Computer Science (2 works) · Natural language processing (2 works) · Sentiment analysis (2 works) · Artificial neural network (1 works) · Autoencoder (1 works) · Discriminative model (1 works) · EEG and Brain-Computer Interfaces (1 works) · ENCODE (1 works) · Engineering (1 works)

Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae