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D-Index & Metrics

Computer Science

D-Index
74
Citations
31387
World Ranking
1458
National Ranking
26

Overview

Soujanya Poria is affiliated with the Singapore University of Technology and Design in Singapore. Their research primarily lies within the field of Computer Science, with a focus on several subfields including Artificial Intelligence, Computer Vision and Pattern Recognition, Signal Processing, Experimental and Cognitive Psychology, and Social Psychology.

The scientist's main research topics cover a range of areas including Topic Modeling, Natural Language Processing Techniques, Sentiment Analysis and Opinion Mining, Advanced Text Analysis Techniques, Multimodal Machine Learning Applications, Speech Recognition and Synthesis, and Music and Audio Processing.

Soujanya Poria's publication record includes contributions to a variety of scientific venues. Frequent publication venues include:

  • arXiv (Cornell University)
  • Information Fusion
  • Cognitive Computation
  • Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  • Neurocomputing

Some recent papers by Soujanya Poria and their collaborators are:

  • "Multimodal sentiment analysis: A systematic review of history, datasets, multimodal fusion methods, applications, challenges and future directions" (2022), published in Information Fusion
  • "A review of deep learning techniques for speech processing" (2023), published in Information Fusion
  • "Retrieving and Reading: A Comprehensive Survey on Open-domain Question Answering" (2021), published in arXiv (Cornell University)
  • "MISA: Modality-Invariant and -Specific Representations for Multimodal Sentiment Analysis" (2020), published in arXiv (Cornell University)
  • "Beneath the Tip of the Iceberg: Current Challenges and New Directions in Sentiment Analysis Research" (2020), published in IEEE Transactions on Affective Computing

Soujanya Poria frequently collaborates with several coauthors, including:

  • Navonil Majumder (46 joint publications)
  • Rada Mihalcea (26 joint publications)
  • Deepanway Ghosal (26 joint publications)
  • Rishabh Bhardwaj (22 joint publications)
  • Devamanyu Hazarika (15 joint publications)

Best Publications

  • Recent Trends in Deep Learning Based Natural Language Processing [Review Article]

    Tom Young;Devamanyu Hazarika;Soujanya Poria;Erik Cambria

  • Recent Trends in Deep Learning Based Natural Language Processing

    Tom Young;Devamanyu Hazarika;Soujanya Poria;Erik Cambria

  • A review of affective computing

    Soujanya Poria;Erik Cambria;Rajiv Bajpai;Amir Hussain

  • Tensor Fusion Network for Multimodal Sentiment Analysis

    Amir Zadeh;Minghai Chen;Soujanya Poria;Erik Cambria

  • Multimodal Language Analysis in the Wild: CMU-MOSEI Dataset and Interpretable Dynamic Fusion Graph

    AmirAli Bagher Zadeh;Paul Pu Liang;Soujanya Poria;Erik Cambria

  • Aspect extraction for opinion mining with a deep convolutional neural network

    Soujanya Poria;Erik Cambria;Alexander Gelbukh

  • MELD: A Multimodal Multi-Party Dataset for Emotion Recognition in Conversations

    Soujanya Poria;Devamanyu Hazarika;Navonil Majumder;Gautam Naik

  • Context-Dependent Sentiment Analysis in User-Generated Videos.

    Soujanya Poria;Erik Cambria;Devamanyu Hazarika;Navonil Majumder

  • MISA: Modality-Invariant and -Specific Representations for Multimodal Sentiment Analysis

    Devamanyu Hazarika;Roger Zimmermann;Soujanya Poria

  • Memory Fusion Network for Multi-view Sequential Learning

    Amir Zadeh;Paul Pu Liang;Navonil Mazumder;Soujanya Poria

  • DialogueRNN: An Attentive RNN for Emotion Detection in Conversations.

    Navonil Majumder;Soujanya Poria;Devamanyu Hazarika;Rada Mihalcea

  • SenticNet 5: Discovering Conceptual Primitives for Sentiment Analysis by Means of Context Embeddings

    Erik Cambria;Soujanya Poria;Devamanyu Hazarika;Kenneth Kwok

  • Convolutional MKL Based Multimodal Emotion Recognition and Sentiment Analysis

    Soujanya Poria;Iti Chaturvedi;Erik Cambria;Amir Hussain

  • Deep Learning-Based Document Modeling for Personality Detection from Text

    Navonil Majumder;Soujanya Poria;Alexander Gelbukh;Erik Cambria

  • Fusing audio, visual and textual clues for sentiment analysis from multimodal content

    Soujanya Poria;Erik Cambria;Newton Howard;Guang-Bin Huang

  • Deep Convolutional Neural Network Textual Features and Multiple Kernel Learning for Utterance-level Multimodal Sentiment Analysis

    Soujanya Poria;Erik Cambria;Alexander Gelbukh

  • DialogueGCN: A graph convolutional neural network for emotion recognition in conversation

    Deepanway Ghosal;Navonil Majumder;Soujanya Poria;Niyati Chhaya

  • Multi-attention Recurrent Network for Human Communication Comprehension.

    Amir Zadeh;Paul Pu Liang;Soujanya Poria;Prateek Vij

  • Sentic patterns: dependency-based rules for concept-level sentiment analysis

    Soujanya Poria;Erik Cambria;Grégoire Winterstein;Guang-Bin Huang

  • Conversational Memory Network for Emotion Recognition in Dyadic Dialogue Videos.

    Devamanyu Hazarika;Soujanya Poria;Amir Zadeh;Erik Cambria

  • Enhanced SenticNet with Affective Labels for Concept-Based Opinion Mining

    S. Poria;A. Gelbukh;A. Hussain;N. Howard

Frequent Co-Authors

Erik Cambria
Erik Cambria Nanyang Technological University
Alexander Gelbukh
Alexander Gelbukh Instituto Politécnico Nacional
Amir Hussain
Amir Hussain Edinburgh Napier University
Rada Mihalcea
Rada Mihalcea University of Michigan–Ann Arbor
Louis-Philippe Morency
Louis-Philippe Morency Carnegie Mellon University
Roger Zimmermann
Roger Zimmermann National University of Singapore
Sivaji Bandyopadhyay
Sivaji Bandyopadhyay Jadavpur University
Guang-Bin Huang
Guang-Bin Huang Nanyang Technological University
Asif Ekbal
Asif Ekbal Indian Institute of Technology Patna
Pushpak Bhattacharyya
Pushpak Bhattacharyya Indian Institute of Technology Patna

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