Soujanya Poria

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SenticNet 4: A Semantic Resource for Sentiment Analysis Based on Conceptual Primitives

Björn W. Schuller, Erik Cambria, Soujanya Poria, 2016, COLING.

CASCADE: Contextual Sarcasm Detection in Online Discussion Forums pdf

Rada Mihalcea, Erik Cambria, Roger Zimmermann, 2018, COLING.

Unsupervised Commonsense Knowledge Enrichment for Domain-Specific Sentiment Analysis

Lior Rokach, Erik Cambria, Amir Hussain, 2016, Cognitive Computation.

Multilingual Sentiment Analysis: State of the Art and Independent Comparison of Techniques

Qiang Zhou, Erik Cambria, Alexander F. Gelbukh, 2016, Cognitive Computation.

IARM: Inter-Aspect Relation Modeling with Memory Networks in Aspect-Based Sentiment Analysis

Asif Ekbal, Erik Cambria, Alexander F. Gelbukh, 2018, EMNLP.

Merging SenticNet and WordNet-Affect emotion lists for sentiment analysis

Erik Cambria, Amir Hussain, Soujanya Poria, 2012, 2012 IEEE 11th International Conference on Signal Processing.

Contextual Inter-modal Attention for Multi-modal Sentiment Analysis

Pushpak Bhattacharyya, Asif Ekbal, Soujanya Poria, 2018, EMNLP.

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

Erik Cambria, Louis-Philippe Morency, Amir Zadeh, 2018, ACL.

Multi-task Learning for Multi-modal Emotion Recognition and Sentiment Analysis pdf

Pushpak Bhattacharyya, Asif Ekbal, Soujanya Poria, 2019, NAACL.

Sentiment and Sarcasm Classification With Multitask Learning

Erik Cambria, Alexander F. Gelbukh, Soujanya Poria, 2019, IEEE Intelligent Systems.

Phonetic-enriched Text Representation for Chinese Sentiment Analysis with Reinforcement Learning pdf

Erik Cambria, Yang Li, Yukun Ma, 2019, Inf. Fusion.

JU_CSE_TAC: Textual Entailment Recognition System at TAC RTE-6

Sivaji Bandyopadhyay, Santanu Pal, Alexander F. Gelbukh, 2010, TAC.

Emotion Recognition in Conversation: Research Challenges, Datasets, and Recent Advances

Eduard Hovy, Rada Mihalcea, Soujanya Poria, 2019, IEEE Access.

Tensor Fusion Network for Multimodal Sentiment Analysis

Erik Cambria, Louis-Philippe Morency, Amir Zadeh, 2017, EMNLP.

DialogueGCN: A Graph Convolutional Neural Network for Emotion Recognition in Conversation

Alexander Gelbukh, Soujanya Poria, Deepanway Ghosal, 2019, EMNLP.

A Common-Sense Based API for Concept-Level Sentiment Analysis

Erik Cambria, Soujanya Poria, Alexander Gelbukh, 2014 .

Fuzzy Clustering for Semi-supervised Learning - Case Study: Construction of an Emotion Lexicon

Dipankar Das, Sivaji Bandyopadhyay, Alexander F. Gelbukh, 2012, MICAI.

Ensemble application of convolutional neural networks and multiple kernel learning for multimodal sentiment analysis

Erik Cambria, Newton Howard, Amir Hussain, 2017, Neurocomputing.

Dependency-Based Semantic Parsing for Concept-Level Text Analysis

Alexander F. Gelbukh, Amir Hussain, Newton Howard, 2014, CICLing.

Deep Learning-Based Document Modeling for Personality Detection from Text

Erik Cambria, Alexander Gelbukh, Soujanya Poria, 2017, IEEE Intelligent Systems.

Multimodal Research in Vision and Language: A Review of Current and Emerging Trends

Roger Zimmermann, Amir Zadeh, Soujanya Poria, 2020 .

Novel symbolic and machine-learning approaches for text-based and multimodal sentiment analysis

Soujanya Poria, 2017 .

Sentic Computing for Social Media Analysis, Representation, and Retrieval

Erik Cambria, Amir Hussain, Soujanya Poria, 2013, Social Media Retrieval.

OntoSenticNet: A Commonsense Ontology for Sentiment Analysis

Erik Cambria, Mauro Dragoni, Soujanya Poria, 2018, IEEE Intelligent Systems.

Investigating Gender Bias in BERT pdf

Soujanya Poria, Rishabh Bhardwaj, Navonil Majumder, 2020, Cognitive Computation.

Multimodal Sentiment Analysis

Erik Cambria, Amir Hussain, Soujanya Poria, 2018, Socio-Affective Computing.

Affect Recognition for Multimodal Natural Language Processing

Lidong Bing, Bing Liu, Soujanya Poria, 2020, Cognitive Computation.

Recognizing Emotion Cause in Conversations pdf

Rada Mihalcea, Alexander Gelbukh, Soujanya Poria, 2020, ArXiv.

EmoSenticSpace: Dense Concept-Based Affective Features with Common-Sense Knowledge

Erik Cambria, Amir Hussain, Soujanya Poria, 2018 .

Towards an intelligent framework for multimodal affective data analysis

Erik Cambria, Amir Hussain, Guang-Bin Huang, 2015, Neural Networks.

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

Erik Cambria, Amir Hussain, Newton Howard, 2016, Neurocomputing.

Sentiment Analysis Is a Big Suitcase

Mike Thelwall, Erik Cambria, Alexander F. Gelbukh, 2017, IEEE Intelligent Systems.

Recent Trends in Deep Learning Based Natural Language Processing

Erik Cambria, Soujanya Poria, Devamanyu Hazarika, 2017, IEEE Comput. Intell. Mag..

Sentiment Analysis , Basic Tasks of Iti pdf

Erik Cambria, Soujanya Poria, Iti Chaturvedi, 2017 .

MIME: MIMicking Emotions for Empathetic Response Generation pdf

Rada Mihalcea, Alexander Gelbukh, Soujanya Poria, 2020, EMNLP.

Multi-level Multiple Attentions for Contextual Multimodal Sentiment Analysis

Erik Cambria, Louis-Philippe Morency, Amir Zadeh, 2017, 2017 IEEE International Conference on Data Mining (ICDM).

Benchmarking Multimodal Sentiment Analysis pdf

Erik Cambria, Amir Hussain, Soujanya Poria, 2017, CICLing.

Conversational Memory Network for Emotion Recognition in Dyadic Dialogue Videos

Erik Cambria, Louis-Philippe Morency, Roger Zimmermann, 2018, NAACL.

MOSEAS: A Multimodal Language Dataset for Spanish, Portuguese, German and French

Louis-Philippe Morency, Soujanya Poria, Yansheng Cao, 2020, EMNLP.

Sentiment Analysis, Basic Tasks of

Erik Cambria, Soujanya Poria, Iti Chaturvedi, 2017, Encyclopedia of Social Network Analysis and Mining. 2nd Ed..

Improving aspect-level sentiment analysis with aspect extraction

Louis-Philippe Morency, Alexander Gelbukh, Amir Zadeh, 2020, Neural Computing and Applications.

Sentic LDA: Improving on LDA with semantic similarity for aspect-based sentiment analysis

Erik Cambria, Soujanya Poria, Federica Bisio, 2016, 2016 International Joint Conference on Neural Networks (IJCNN).

Singlish SenticNet: A Concept-Based Sentiment Resource for Singapore English

Erik Cambria, Soujanya Poria, Danyuan Ho, 2018, 2018 IEEE Symposium Series on Computational Intelligence (SSCI).

Bayesian Deep Convolution Belief Networks for Subjectivity Detection

Erik Cambria, Soujanya Poria, Rajiv Bajpai, 2016, 2016 IEEE 16th International Conference on Data Mining Workshops (ICDMW).

Enriching SenticNet Polarity Scores through Semi-Supervised Fuzzy Clustering

Dipankar Das, Sivaji Bandyopadhyay, Erik Cambria, 2012, 2012 IEEE 12th International Conference on Data Mining Workshops.

Convolutional MKL Based Multimodal Emotion Recognition and Sentiment Analysis

Erik Cambria, Amir Hussain, Soujanya Poria, 2016, 2016 IEEE 16th International Conference on Data Mining (ICDM).

Common Sense Knowledge Based Personality Recognition from Text

Erik Cambria, Alexander F. Gelbukh, Newton Howard, 2013, MICAI.

SMSFR: SMS-Based FAQ Retrieval System

Sivaji Bandyopadhyay, Santanu Pal, Alexander F. Gelbukh, 2012, MICAI.

SeNTU: Sentiment Analysis of Tweets by Combining a Rule-based Classifier with Supervised Learning

Erik Cambria, Soujanya Poria, Prerna Chikersal, 2015, *SEMEVAL.

Learning Visual Concepts in Images Using Temporal Convolutional Networks

Erik Cambria, Soujanya Poria, Iti Chaturvedi, 2018, 2018 IEEE Symposium Series on Computational Intelligence (SSCI).

DialogueRNN: An Attentive RNN for Emotion Detection in Conversations pdf

Rada Mihalcea, Erik Cambria, Alexander F. Gelbukh, 2018, AAAI.

Modelling Public Sentiment in Twitter: Using Linguistic Patterns to Enhance Supervised Learning

Chng Eng Siong, Erik Cambria, Alexander F. Gelbukh, 2015, CICLing.

Music Genre Classification: A Semi-supervised Approach

Sivaji Bandyopadhyay, Alexander F. Gelbukh, Amir Hussain, 2013, MCPR.

Dependency Tree-Based Rules for Concept-Level Aspect-Based Sentiment Analysis

Lior Rokach, Alexander F. Gelbukh, Amir Hussain, 2014, SemWebEval@ESWC.

Multimodal Sentiment Analysis: Addressing Key Issues and Setting Up the Baselines

Erik Cambria, Alexander F. Gelbukh, Amir Hussain, 2018, IEEE Intelligent Systems.

Utterance-level Dialogue Understanding: An Empirical Study pdf

Rada Mihalcea, Soujanya Poria, Deepanway Ghosal, 2020, ArXiv.

EmoSenticSpace: A novel framework for affective common-sense reasoning

Erik Cambria, Alexander F. Gelbukh, Amir Hussain, 2014, Knowl. Based Syst..

Concept-Level Sentiment Analysis with Dependency-Based Semantic Parsing: A Novel Approach

Namita Mittal, Alexander Gelbukh, Amir Hussain, 2015, Cognitive Computation.

Sentic Patterns: Sentiment Data Flow Analysis by Means of Dynamic Linguistic Patterns

Erik Cambria, Amir Hussain, Soujanya Poria, 2018 .

Sentic API: A Common and Common-Sense Knowledge API for Cognition-Driven Sentiment Analysis

Erik Cambria, Alexander F. Gelbukh, Soujanya Poria, 2014, #MSM.

Multi-attention Recurrent Network for Human Communication Comprehension

Erik Cambria, Louis-Philippe Morency, Amir Zadeh, 2018, AAAI.

Memory Fusion Network for Multi-view Sequential Learning pdf

Erik Cambria, Louis-Philippe Morency, Amir Zadeh, 2018, AAAI.

Sentiment Data Flow Analysis by Means of Dynamic Linguistic Patterns

Erik Cambria, Alexander F. Gelbukh, Amir Hussain, 2015, IEEE Computational Intelligence Magazine.

COSMIC: COmmonSense knowledge for eMotion Identification in Conversations

Rada Mihalcea, Alexander Gelbukh, Soujanya Poria, 2020, FINDINGS.

Retrieving and Reading: A Comprehensive Survey on Open-domain Question Answering pdf

Chao Wang, Soujanya Poria, Tat-Seng Chua, 2021, ArXiv.

A Deeper Look into Sarcastic Tweets Using Deep Convolutional Neural Networks pdf

Erik Cambria, Soujanya Poria, Devamanyu Hazarika, 2016, COLING.

Modeling Inter-Aspect Dependencies for Aspect-Based Sentiment Analysis

Erik Cambria, Roger Zimmermann, Soujanya Poria, 2018, NAACL.

The CLSA Model: A Novel Framework for Concept-Level Sentiment Analysis

Erik Cambria, Soujanya Poria, Rajiv Bajpai, 2015, CICLing.

AffectiveSpace 2: Enabling Affective Intuition for Concept-Level Sentiment Analysis

Erik Cambria, Jie Fu, Soujanya Poria, 2015, AAAI.

Social Media Marketing and Financial Forecasting

Erik Cambria, Roy E. Welsch, Soujanya Poria, 2020, Inf. Process. Manag..

Beneath the Tip of the Iceberg: Current Challenges and New Directions in Sentiment Analysis Research pdf

Rada Mihalcea, Soujanya Poria, Devamanyu Hazarika, 2020, IEEE Transactions on Affective Computing.

Semantic Textual Entailment Recognition using UNL

Sivaji Bandyopadhyay, Alexander F. Gelbukh, Partha Pakray, 2011, Polibits.

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

Erik Cambria, Soujanya Poria, Kenneth Kwok, 2018, AAAI.

A Review of Artificial Intelligence and Biologically Inspired Computational Approaches to Solving Issues in Narrative Financial Disclosure

Amir Hussain, Soujanya Poria, Saliha Minhas, 2013, BICS.

Context-Dependent Sentiment Analysis in User-Generated Videos

Erik Cambria, Louis-Philippe Morency, Amir Zadeh, 2017, ACL.

Computational Intelligence for Affective Computing and Sentiment Analysis [Guest Editorial]

Erik Cambria, Amir Hussain, Bing Liu, 2019, IEEE Comput. Intell. Mag..

Variational Fusion for Multimodal Sentiment Analysis pdf

Rada Mihalcea, Alexander Gelbukh, Soujanya Poria, 2019, ArXiv.

Multimodal Sentiment Analysis using Hierarchical Fusion with Context Modeling

Erik Cambria, Alexander F. Gelbukh, Soujanya Poria, 2018, Knowl. Based Syst..

Developing a concept-level knowledge base for sentiment analysis in Singlish

Erik Cambria, Soujanya Poria, Rajiv Bajpai, 2016, CICLing.

Combining Textual Clues with Audio-Visual Information for Multimodal Sentiment Analysis

Erik Cambria, Amir Hussain, Soujanya Poria, 2018 .

Proceedings of Grand Challenge and Workshop on Human Multimodal Language (Challenge-HML)

Erik Cambria, Louis-Philippe Morency, Stefan Scherer, 2018 .

A Deep Learning Approach for Multimodal Deception Detection pdf

Erik Cambria, Soujanya Poria, Navonil Majumder, 2018, CICLing.

Sentic patterns: Dependency-based rules for concept-level sentiment analysis

Erik Cambria, Guang-Bin Huang, Soujanya Poria, 2014, Knowl. Based Syst..

Concept Extraction from Natural Text for Concept Level Text Analysis

Erik Cambria, Amir Hussain, Soujanya Poria, 2018 .

Emotion Recognition in Conversations with Transfer Learning from Generative Conversation Modeling pdf

Rada Mihalcea, Roger Zimmermann, Soujanya Poria, 2019, ArXiv.

Aspect extraction for opinion mining with a deep convolutional neural network

Erik Cambria, Alexander F. Gelbukh, Soujanya Poria, 2016, Knowl. Based Syst..

A Rule-Based Approach to Aspect Extraction from Product Reviews

Chen Gui, Lun-Wei Ku, Erik Cambria, 2014, SocialNLP@COLING.

Erratum: Common Sense Knowledge Based Personality Recognition from Text

Erik Cambria, Alexander F. Gelbukh, Newton Howard, 2013, MICAI.

A Classifier Based Approach to Emotion Lexicon Construction

Dipankar Das, Sivaji Bandyopadhyay, Soujanya Poria, 2012, NLDB.

Anaphora and Coreference Resolution: A Review

Erik Cambria, Soujanya Poria, Ramkumar Thirunavukarasu, 2018, Inf. Fusion.

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

Erik Cambria, Alexander F. Gelbukh, Soujanya Poria, 2015, EMNLP.

Conversational transfer learning for emotion recognition

Rada Mihalcea, Roger Zimmermann, Soujanya Poria, 2019, Inf. Fusion.

Towards Multimodal Sarcasm Detection (An _Obviously_ Perfect Paper) pdf

Verónica Pérez-Rosas, Rada Mihalcea, Roger Zimmermann, 2019, ACL.

Enhanced SenticNet with Affective Labels for Concept-Based Opinion Mining

Dipankar Das, Sivaji Bandyopadhyay, Alexander F. Gelbukh, 2013, IEEE Intelligent Systems.

Emerging Trends of Multimodal Research in Vision and Language pdf

Roger Zimmermann, Amir Zadeh, Soujanya Poria, 2020, ArXiv.

ICON: Interactive Conversational Memory Network for Multimodal Emotion Detection

Rada Mihalcea, Erik Cambria, Roger Zimmermann, 2018, EMNLP.

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

Rada Mihalcea, Erik Cambria, Soujanya Poria, 2018, ACL.

KinGDOM: Knowledge-Guided DOMain Adaptation for Sentiment Analysis

Rada Mihalcea, Soujanya Poria, Devamanyu Hazarika, 2020, ACL.

A Textual Entailment System using Anaphora Resolution

Sivaji Bandyopadhyay, Alexander F. Gelbukh, Partha Pakray, 2011, TAC.

Deep Neural Approaches to Relation Triplets Extraction: a Comprehensive Survey

Soujanya Poria, Navonil Majumder, Tapas Nayak, 2021, Cognitive Computation.

PIP: Physical Interaction Prediction via Mental Imagery with Span Selection pdf

Soujanya Poria, Bihan Wen, Cheston Tan, 2021, ArXiv.

Improving Distantly Supervised Relation Extraction with Self-Ensemble Noise Filtering

Soujanya Poria, Navonil Majumder, Tapas Nayak, 2021, RANLP.

Aspect Sentiment Triplet Extraction Using Reinforcement Learning

Soujanya Poria, Navonil Majumder, Tapas Nayak, 2021, CIKM.

Conversational transfer learning for emotion recognition

Roger Zimmermann, Soujanya Poria, Devamanyu Hazarika, 2021, Inf. Fusion.

Retrieving and Reading: A Comprehensive Survey on Open-domain Question Answering pdf

Soujanya Poria, Jianming Zheng, Wenqiang Lei, 2021, ArXiv.

Discriminative Dictionary Design for Action Classification in Still Images and Videos

Biplab Banerjee, Amir Hussain, Soujanya Poria, 2021, Cogn. Comput..

Exploring the Role of Context in Utterance-level Emotion, Act and Intent Classification in Conversations: An Empirical Study

Soujanya Poria, Deepanway Ghosal, Navonil Majumder, 2021, FINDINGS.

Exemplars-Guided Empathetic Response Generation Controlled by the Elements of Human Communication pdf

Alexander Gelbukh, Soujanya Poria, Devamanyu Hazarika, 2021, IEEE Access.

More Identifiable yet Equally Performant Transformers for Text Classification pdf

Eduard Hovy, Soujanya Poria, Rishabh Bhardwaj, 2021, ACL.

Information fusion for affective computing and sentiment analysis

Erik Cambria, Amir Hussain, Soujanya Poria, 2021, Inf. Fusion.

M2H2: A Multimodal Multiparty Hindi Dataset For Humor Recognition in Conversations

Pushpak Bhattacharyya, Asif Ekbal, Amir Zadeh, 2021, ICMI.

DOZEN: Cross-Domain Zero Shot Named Entity Recognition with Knowledge Graph

Soujanya Poria, Francesco Gelli, Hoang Van Nguyen, 2021, SIGIR.

STaCK: Sentence Ordering with Temporal Commonsense Knowledge

Rada Mihalcea, Soujanya Poria, Deepanway Ghosal, 2021, EMNLP.

PIP: Physical Interaction Prediction via Mental Simulation with Span Selection

Soujanya Poria, Bihan Wen, Cheston Tan, 2021, ECCV.

Federated Distillation of Natural Language Understanding with Confident Sinkhorns pdf

Soujanya Poria, Rishabh Bhardwaj, Tushar Vaidya, 2021, ArXiv.

Improving Multimodal Fusion with Hierarchical Mutual Information Maximization for Multimodal Sentiment Analysis pdf

Soujanya Poria, Wei Han, Hui Chen, 2021, EMNLP.

Multimodal research in vision and language: A review of current and emerging trends

Roger Zimmermann, Amir Zadeh, Soujanya Poria, 2022, Inf. Fusion.

CIDER: Commonsense Inference for Dialogue Explanation and Reasoning

Soujanya Poria, Deepanway Ghosal, Navonil Majumder, 2021, SIGDIAL.

MTAG: Modal-Temporal Attention Graph for Unaligned Human Multimodal Language Sequences

Louis-Philippe Morency, Amir Zadeh, Soujanya Poria, 2021, NAACL.

Bi-Bimodal Modality Fusion for Correlation-Controlled Multimodal Sentiment Analysis

Alexander Gelbukh, Amir Zadeh, Soujanya Poria, 2021, ICMI.

Recognizing Emotion Cause in Conversations

Alexander Gelbukh, Soujanya Poria, Rishabh Bhardwaj, 2020, Cognitive Computation.

Beneath the Tip of the Iceberg: Current Challenges and New Directions in Sentiment Analysis Research pdf

Soujanya Poria, Devamanyu Hazarika, Navonil Majumder, 2020, ArXiv.

Dialogue Relation Extraction with Document-level Heterogeneous Graph Attention Networks pdf

Soujanya Poria, Wei Han, Hui Chen, 2020, ArXiv.

Beyond Text based sentiment analysis : Towards multi-modal systems

Erik Cambria, Amir Hussain, Soujanya Poria, 2014 .