Apoorva Singh

According to our database, Apoorva Singh authored at least 20 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Federated Multitask Learning for Complaint Identification Using Graph Attention Network.

Apoorva Singh, Siddarth Chandrasekar, Tanmay Sen, Sriparna Saha

IEEE Trans. Artif. Intell., March, 2024

Complaint and Severity Identification From Online Financial Content.

Apoorva Singh, Rohan Bhatia, Sriparna Saha

IEEE Trans. Comput. Soc. Syst., February, 2024

2023

GraphIC: A graph-based approach for identifying complaints from code-mixed product reviews.

Apoorva Singh, Sriparna Saha

Expert Syst. Appl., April, 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

Proceedings of the Machine Learning and Knowledge Discovery in Databases: Applied Data Science and Demo Track, 2023

Let the Model Make Financial Senses: A Text2Text Generative Approach for Financial Complaint Identification.

Sarmistha Das, Apoorva Singh, Raghav Jain, Sriparna Saha, Alka Maurya

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2023

AbCoRD: Exploiting multimodal generative approach for Aspect-based Complaint and Rationale Detection.

Raghav Jain, Apoorva Singh, Vivek Kumar Gangwar, Sriparna Saha

Proceedings of the 31st ACM International Conference on Multimedia, 2023

Reimagining Complaint Analysis: Adopting Seq2Path for a Generative Text-to-Text Framework.

Apoorva Singh, Raghav Jain, Sriparna Saha

Proceedings of the 13th International Joint Conference on Natural Language Processing and the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics, 2023

Federated Meta-Learning for Emotion and Sentiment Aware Multi-modal Complaint Identification.

Apoorva Singh, Siddarth Chandrasekar, Sriparna Saha, Tanmay Sen

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

What Is Your Cause for Concern? Towards Interpretable Complaint Cause Analysis.

Apoorva Singh, Prince Jha, Rohan Bhatia, Sriparna Saha

Proceedings of the Advances in Information Retrieval, 2023

Knowing What and How: A Multi-modal Aspect-Based Framework for Complaint Detection.

Apoorva Singh, Vivek Kumar Gangwar, Shubham Sharma, Sriparna Saha

Proceedings of the Advances in Information Retrieval, 2023

Investigating the Impact of Multimodality and External Knowledge in Aspect-level Complaint and Sentiment Analysis.

Apoorva Singh, Apoorv Verma, Raghav Jain, Sriparna Saha

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Peeking inside the black box: A Commonsense-aware Generative Framework for Explainable Complaint Detection.

Apoorva Singh, Raghav Jain, Prince Jha, Sriparna Saha

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

Explainable information retrieval using deep learning for medical images.

Apoorva Singh, Husanbir Singh Pannu, Avleen Malhi

Comput. Sci. Inf. Syst., 2022

Multitask Learning for Complaint Identification and Sentiment Analysis.

Apoorva Singh, Sriparna Saha, Md. Hasanuzzaman, Kuntal Dey

Cogn. Comput., 2022

Adversarial Multi-task Model for Emotion, Sentiment, and Sarcasm Aided Complaint Detection.

Apoorva Singh, Arousha Nazir, Sriparna Saha

Proceedings of the Advances in Information Retrieval, 2022

Sentiment and Emotion-Aware Multi-Modal Complaint Identification.

Apoorva Singh, Soumyodeep Dey, Anamitra Singha, Sriparna Saha

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Identifying complaints based on semi-supervised mincuts.

Apoorva Singh, Sriparna Saha, Mohammed Hasanuzzaman, Anubhav Jangra

Expert Syst. Appl., 2021

IoT in Health Care Industry: A Promising Prospect.

Kashav Piya, Quynh Anh Au, Srijal Shrestha, Apoorva Singh, Tauheed Khan Mohd

Proceedings of the 12th IEEE Annual Ubiquitous Computing, 2021

Are You Really Complaining? A Multi-task Framework for Complaint Identification, Emotion, and Sentiment Classification.

Apoorva Singh, Sriparna Saha

Proceedings of the 16th International Conference on Document Analysis and Recognition, 2021

Federated Multi-task Learning for Complaint Identification from Social Media Data.

Apoorva Singh, Tanmay Sen, Sriparna Saha, Mohammed Hasanuzzaman

Proceedings of the HT '21: 32nd ACM Conference on Hypertext and Social Media, Virtual Event, Ireland, 30 August 2021, 2021