Federated Multi-task Learning for Complaint Identification from Social Media Data. - Apoorva Singh; Tanmay Sen; Sriparna Saha 001; Mohammed Hasanuzzaman (HT, 2021)

Are You Really Complaining? A Multi-task Framework for Complaint Identification, Emotion, and Sentiment Classification. - Apoorva Singh; Sriparna Saha 001 (ICDAR (2), 2021)

IoT in Health Care Industry: A Promising Prospect. - Kashav Piya; Quynh Anh Au; Srijal Shrestha; Apoorva Singh; Tauheed Khan Mohd (UEMCON, 2021)

Identifying complaints based on semi-supervised mincuts. - Apoorva Singh; Sriparna Saha 001; Mohammed Hasanuzzaman; Anubhav Jangra (Expert Syst. Appl., 2021)

Sentiment and Emotion-Aware Multi-Modal Complaint Identification. - Apoorva Singh; Soumyodeep Dey; Anamitra Singha; Sriparna Saha 001 (AAAI, 2022)

Adversarial Multi-task Model for Emotion, Sentiment, and Sarcasm Aided Complaint Detection. - Apoorva Singh; Arousha Nazir; Sriparna Saha 001 (ECIR (1), 2022)

Multitask Learning for Complaint Identification and Sentiment Analysis. - Apoorva Singh; Sriparna Saha 001; Md. Hasanuzzaman; Kuntal Dey (Cogn. Comput., 2022)

Explainable information retrieval using deep learning for medical images. - Apoorva Singh; Husanbir Singh Pannu; Avleen Malhi (Comput. Sci. Inf. Syst., 2022)

Peeking inside the black box: A Commonsense-aware Generative Framework for Explainable Complaint Detection. - Apoorva Singh; Raghav Jain; Prince Jha; Sriparna Saha 001 (ACL (1), 2023)

Investigating the Impact of Multimodality and External Knowledge in Aspect-level Complaint and Sentiment Analysis. - Apoorva Singh; Apoorv Verma; Raghav Jain; Sriparna Saha 001 (CIKM, 2023)

Knowing What and How: A Multi-modal Aspect-Based Framework for Complaint Detection. - Apoorva Singh; Vivek Kumar Gangwar; Shubham Sharma; Sriparna Saha 001 (ECIR (2), 2023)

What Is Your Cause for Concern? Towards Interpretable Complaint Cause Analysis. - Apoorva Singh; Prince Jha; Rohan Bhatia; Sriparna Saha 001 (ECIR (2), 2023)

Federated Meta-Learning for Emotion and Sentiment Aware Multi-modal Complaint Identification. - Apoorva Singh; Siddarth Chandrasekar; Sriparna Saha 001; Tanmay Sen (EMNLP, 2023)

Reimagining Complaint Analysis: Adopting Seq2Path for a Generative Text-to-Text Framework. - Apoorva Singh; Raghav Jain; Sriparna Saha 001 (IJCNLP (1), 2023)

AbCoRD: Exploiting multimodal generative approach for Aspect-based Complaint and Rationale Detection. - Raghav Jain; Apoorva Singh; Vivek Kumar Gangwar; Sriparna Saha 001 (ACM Multimedia, 2023)

Let the Model Make Financial Senses: A Text2Text Generative Approach for Financial Complaint Identification. - Sarmistha Das; Apoorva Singh; Raghav Jain; Sriparna Saha 001; Alka Maurya (PAKDD (3), 2023)

Aspect-Based Complaint and Cause Detection: A Multimodal Generative Framework with External Knowledge Infusion. - Raghav Jain; Apoorv Verma; Apoorva Singh; Vivek Kumar Gangwar; Sriparna Saha 001 (ECML/PKDD (6), 2023)

GraphIC: A graph-based approach for identifying complaints from code-mixed product reviews. - Apoorva Singh; Sriparna Saha 001 (Expert Syst. Appl., 2023)

Seeing Beyond Words: Multimodal Aspect-Level Complaint Detection in Ecommerce Videos. - Rishikesh Devanathan; Apoorva Singh; A. S. Poornash; Sriparna Saha 001 (ACM Multimedia, 2024)

Complaint and Severity Identification From Online Financial Content. - Apoorva Singh; Rohan Bhatia; Sriparna Saha 001 (IEEE Trans. Comput. Soc. Syst., 2024)

Federated Multitask Learning for Complaint Identification Using Graph Attention Network. - Apoorva Singh; Siddarth Chandrasekar; Tanmay Sen; Sriparna Saha 001 (IEEE Trans. Artif. Intell., 2024)

Negative Review or Complaint? Exploring Interpretability in Financial Complaints. - Sarmistha Das; Apoorva Singh; Sriparna Saha 001; Alka Maurya (IEEE Trans. Comput. Soc. Syst., 2024)

Toward Multimodal Complaint Severity Detection From Social Media. - Apoorva Singh; Prince Jha; Souryadip Das; Raghav Jain; Sriparna Saha 001 (IEEE Trans. Comput. Soc. Syst., 2024)