Soujanya Poria

According to our database1, Soujanya Poria authored at least 104 papers between 2010 and 2021.

Collaborative distances:

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2021
Phonetic-enriched text representation for Chinese sentiment analysis with reinforcement learning.
Inf. Fusion, 2021

Conversational transfer learning for emotion recognition.
Inf. Fusion, 2021

Persuasive dialogue understanding: The baselines and negative results.
Neurocomputing, 2021

Retrieving and Reading: A Comprehensive Survey on Open-domain Question Answering.
CoRR, 2021

2020
Social Media Marketing and Financial Forecasting.
Inf. Process. Manag., 2020

Anaphora and coreference resolution: A review.
Inf. Fusion, 2020

Dialogue systems with audio context.
Neurocomputing, 2020

Recognizing Emotion Cause in Conversations.
CoRR, 2020

Improving Zero Shot Learning Baselines with Commonsense Knowledge.
CoRR, 2020

MTGAT: Multimodal Temporal Graph Attention Networks for Unaligned Human Multimodal Language Sequences.
CoRR, 2020

Emerging Trends of Multimodal Research in Vision and Language.
CoRR, 2020

Utterance-level Dialogue Understanding: An Empirical Study.
CoRR, 2020

Dialogue Relation Extraction with Document-level Heterogeneous Graph Attention Networks.
CoRR, 2020

Investigating Gender Bias in BERT.
CoRR, 2020

Improving Aspect-Level Sentiment Analysis with Aspect Extraction.
CoRR, 2020

Beneath the Tip of the Iceberg: Current Challenges and New Directions in Sentiment Analysis Research.
CoRR, 2020

MISA: Modality-Invariant and -Specific Representations for Multimodal Sentiment Analysis.
Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

CMU-MOSEAS: A Multimodal Language Dataset for Spanish, Portuguese, German and French.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

MIME: MIMicking Emotions for Empathetic Response Generation.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

COSMIC: COmmonSense knowledge for eMotion Identification in Conversations.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing: Findings, 2020

SenticNet 6: Ensemble Application of Symbolic and Subsymbolic AI for Sentiment Analysis.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

KinGDOM: Knowledge-Guided DOMain Adaptation for Sentiment Analysis.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019
Sentiment and Sarcasm Classification With Multitask Learning.
IEEE Intell. Syst., 2019

Factorized Multimodal Transformer for Multimodal Sequential Learning.
CoRR, 2019

WildMix Dataset and Spectro-Temporal Transformer Model for Monoaural Audio Source Separation.
CoRR, 2019

Emotion Recognition in Conversations with Transfer Learning from Generative Conversation Modeling.
CoRR, 2019

Variational Fusion for Multimodal Sentiment Analysis.
CoRR, 2019

Computational Intelligence for Affective Computing and Sentiment Analysis [Guest Editorial].
IEEE Comput. Intell. Mag., 2019

Emotion Recognition in Conversation: Research Challenges, Datasets, and Recent Advances.
IEEE Access, 2019

The Nitty-GRITties of Success: Computational Analysis of Grit From Language.
IEEE Access, 2019

Multi-task Learning for Multi-modal Emotion Recognition and Sentiment Analysis.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

An Attention-Based Model for Learning Dynamic Interaction Networks.
Proceedings of the International Joint Conference on Neural Networks, 2019

DialogueGCN: A Graph Convolutional Neural Network for Emotion Recognition in Conversation.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

MELD: A Multimodal Multi-Party Dataset for Emotion Recognition in Conversations.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Towards Multimodal Sarcasm Detection (An _Obviously_ Perfect Paper).
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

DialogueRNN: An Attentive RNN for Emotion Detection in Conversations.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Sentiment Analysis, Basic Tasks of.
Proceedings of the Encyclopedia of Social Network Analysis and Mining, 2nd Edition, 2018

Multimodal sentiment analysis using hierarchical fusion with context modeling.
Knowl. Based Syst., 2018

Multimodal Sentiment Analysis: Addressing Key Issues and Setting Up the Baselines.
IEEE Intell. Syst., 2018

OntoSenticNet: A Commonsense Ontology for Sentiment Analysis.
IEEE Intell. Syst., 2018

A Deep Learning Approach for Multimodal Deception Detection.
CoRR, 2018

Recent Trends in Deep Learning Based Natural Language Processing [Review Article].
IEEE Comput. Intell. Mag., 2018

Learning Visual Concepts in Images Using Temporal Convolutional Networks.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2018

Singlish SenticNet: A Concept-Based Sentiment Resource for Singapore English.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2018

Conversational Memory Network for Emotion Recognition in Dyadic Dialogue Videos.
Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

Modeling Inter-Aspect Dependencies for Aspect-Based Sentiment Analysis.
Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

Self-Attentive Feature-Level Fusion for Multimodal Emotion Detection.
Proceedings of the IEEE 1st Conference on Multimedia Information Processing and Retrieval, 2018

IARM: Inter-Aspect Relation Modeling with Memory Networks in Aspect-Based Sentiment Analysis.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

ICON: Interactive Conversational Memory Network for Multimodal Emotion Detection.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Contextual Inter-modal Attention for Multi-modal Sentiment Analysis.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

CASCADE: Contextual Sarcasm Detection in Online Discussion Forums.
Proceedings of the 27th International Conference on Computational Linguistics, 2018

Multimodal Language Analysis in the Wild: CMU-MOSEI Dataset and Interpretable Dynamic Fusion Graph.
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

Multi-attention Recurrent Network for Human Communication Comprehension.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

Memory Fusion Network for Multi-view Sequential Learning.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

SenticNet 5: Discovering Conceptual Primitives for Sentiment Analysis by Means of Context Embeddings.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Novel symbolic and machine-learning approaches for text-based and multimodal sentiment analysis.
PhD thesis, 2017

A review of affective computing: From unimodal analysis to multimodal fusion.
Inf. Fusion, 2017

Ensemble application of convolutional neural networks and multiple kernel learning for multimodal sentiment analysis.
Neurocomputing, 2017

Deep Learning-Based Document Modeling for Personality Detection from Text.
IEEE Intell. Syst., 2017

Sentiment Analysis Is a Big Suitcase.
IEEE Intell. Syst., 2017

Basic tasks of sentiment analysis.
CoRR, 2017

Recent Trends in Deep Learning Based Natural Language Processing.
CoRR, 2017

Developing a concept-level knowledge base for sentiment analysis in Singlish.
CoRR, 2017

Multi-level Multiple Attentions for Contextual Multimodal Sentiment Analysis.
Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

Tensor Fusion Network for Multimodal Sentiment Analysis.
Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

Benchmarking Multimodal Sentiment Analysis.
Proceedings of the Computational Linguistics and Intelligent Text Processing, 2017

Context-Dependent Sentiment Analysis in User-Generated Videos.
Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

2016
Aspect extraction for opinion mining with a deep convolutional neural network.
Knowl. Based Syst., 2016

Fusing audio, visual and textual clues for sentiment analysis from multimodal content.
Neurocomputing, 2016

Unsupervised Commonsense Knowledge Enrichment for Domain-Specific Sentiment Analysis.
Cogn. Comput., 2016

Erratum to: Multilingual Sentiment Analysis: State of the Art and Independent Comparison of Techniques.
Cogn. Comput., 2016

Multilingual Sentiment Analysis: State of the Art and Independent Comparison of Techniques.
Cogn. Comput., 2016

Sentic LDA: Improving on LDA with semantic similarity for aspect-based sentiment analysis.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Convolutional MKL Based Multimodal Emotion Recognition and Sentiment Analysis.
Proceedings of the IEEE 16th International Conference on Data Mining, 2016

Bayesian Deep Convolution Belief Networks for Subjectivity Detection.
Proceedings of the IEEE International Conference on Data Mining Workshops, 2016

A Deeper Look into Sarcastic Tweets Using Deep Convolutional Neural Networks.
Proceedings of the COLING 2016, 2016

SenticNet 4: A Semantic Resource for Sentiment Analysis Based on Conceptual Primitives.
Proceedings of the COLING 2016, 2016

2015
Towards an intelligent framework for multimodal affective data analysis.
Neural Networks, 2015

Concept-Level Sentiment Analysis with Dependency-Based Semantic Parsing: A Novel Approach.
Cogn. Comput., 2015

Sentiment Data Flow Analysis by Means of Dynamic Linguistic Patterns.
IEEE Comput. Intell. Mag., 2015

SeNTU: Sentiment Analysis of Tweets by Combining a Rule-based Classifier with Supervised Learning.
Proceedings of the 9th International Workshop on Semantic Evaluation, 2015

Deep Convolutional Neural Network Textual Features and Multiple Kernel Learning for Utterance-level Multimodal Sentiment Analysis.
Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015

Modelling Public Sentiment in Twitter: Using Linguistic Patterns to Enhance Supervised Learning.
Proceedings of the Computational Linguistics and Intelligent Text Processing, 2015

The CLSA Model: A Novel Framework for Concept-Level Sentiment Analysis.
Proceedings of the Computational Linguistics and Intelligent Text Processing, 2015

AffectiveSpace 2: Enabling Affective Intuition for Concept-Level Sentiment Analysis.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014
EmoSenticSpace: A novel framework for affective common-sense reasoning.
Knowl. Based Syst., 2014

Sentic patterns: Dependency-based rules for concept-level sentiment analysis.
Knowl. Based Syst., 2014

Sentic API: A Common and Common-Sense Knowledge API for Cognition-Driven Sentiment Analysis.
Proceedings of the the 4th Workshop on Making Sense of Microposts co-located with the 23rd International World Wide Web Conference (WWW 2014), 2014

Dependency Tree-Based Rules for Concept-Level Aspect-Based Sentiment Analysis.
Proceedings of the Semantic Web Evaluation Challenge, 2014

Dependency-Based Semantic Parsing for Concept-Level Text Analysis.
Proceedings of the Computational Linguistics and Intelligent Text Processing, 2014

A Rule-Based Approach to Aspect Extraction from Product Reviews.
Proceedings of the Second Workshop on Natural Language Processing for Social Media, 2014

2013
Sentic Computing for Social Media Analysis, Representation, and Retrieval.
Proceedings of the Social Media Retrieval, 2013

Enhanced SenticNet with Affective Labels for Concept-Based Opinion Mining.
IEEE Intell. Syst., 2013

Erratum: Common Sense Knowledge Based Personality Recognition from Text.
Proceedings of the Advances in Soft Computing and Its Applications, 2013

Common Sense Knowledge Based Personality Recognition from Text.
Proceedings of the Advances in Soft Computing and Its Applications, 2013

Music Genre Classification: A Semi-supervised Approach.
Proceedings of the Pattern Recognition - 5th Mexican Conference, 2013

A Review of Artificial Intelligence and Biologically Inspired Computational Approaches to Solving Issues in Narrative Financial Disclosure.
Proceedings of the Advances in Brain Inspired Cognitive Systems, 2013

2012
A Classifier Based Approach to Emotion Lexicon Construction.
Proceedings of the Natural Language Processing and Information Systems, 2012

Fuzzy Clustering for Semi-supervised Learning - Case Study: Construction of an Emotion Lexicon.
Proceedings of the Advances in Artificial Intelligence, 2012

SMSFR: SMS-Based FAQ Retrieval System.
Proceedings of the Advances in Computational Intelligence, 2012

Enriching SenticNet Polarity Scores through Semi-Supervised Fuzzy Clustering.
Proceedings of the 12th IEEE International Conference on Data Mining Workshops, 2012

2011
Semantic Textual Entailment Recognition using UNL.
Polytech. Open Libr. Int. Bull. Inf. Technol. Sci., 2011

A Textual Entailment System using Anaphora Resolution.
Proceedings of the Fourth Text Analysis Conference, 2011

2010
JU_CSE_TAC: Textual Entailment Recognition System at TAC RTE-6.
Proceedings of the Third Text Analysis Conference, 2010


  Loading...