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ORCIDApoorva Singh
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2020 – today
- 2024
[j8]Apoorva Singh
, Siddarth Chandrasekar, Tanmay Sen, Sriparna Saha:
Federated Multitask Learning for Complaint Identification Using Graph Attention Network. IEEE Trans. Artif. Intell. 5(3): 1277-1286 (2024)- [j7]Apoorva Singh, Rohan Bhatia, Sriparna Saha:
Complaint and Severity Identification From Online Financial Content. IEEE Trans. Comput. Soc. Syst. 11(1): 660-670 (2024) - [j6]Sarmistha Das, Apoorva Singh, Sriparna Saha, Alka Maurya:
Negative Review or Complaint? Exploring Interpretability in Financial Complaints. IEEE Trans. Comput. Soc. Syst. 11(3): 3606-3615 (2024) - [j5]Apoorva Singh, Prince Jha, Souryadip Das, Raghav Jain, Sriparna Saha:
Toward Multimodal Complaint Severity Detection From Social Media. IEEE Trans. Comput. Soc. Syst. 11(5): 5903-5912 (2024) - 2023
- [j4]Apoorva Singh, Sriparna Saha:
GraphIC: A graph-based approach for identifying complaints from code-mixed product reviews. Expert Syst. Appl. 216: 119444 (2023) - [c14]Apoorva Singh, Raghav Jain, Prince Jha, Sriparna Saha:
Peeking inside the black box: A Commonsense-aware Generative Framework for Explainable Complaint Detection. ACL (1) 2023: 7333-7347 - [c13]Apoorva Singh, Apoorv Verma, Raghav Jain, Sriparna Saha:
Investigating the Impact of Multimodality and External Knowledge in Aspect-level Complaint and Sentiment Analysis. CIKM 2023: 2291-2300 - [c12]Apoorva Singh, Vivek Kumar Gangwar, Shubham Sharma, Sriparna Saha:
Knowing What and How: A Multi-modal Aspect-Based Framework for Complaint Detection. ECIR (2) 2023: 125-140 - [c11]Apoorva Singh, Prince Jha, Rohan Bhatia, Sriparna Saha:
What Is Your Cause for Concern? Towards Interpretable Complaint Cause Analysis. ECIR (2) 2023: 141-155 - [c10]Apoorva Singh, Siddarth Chandrasekar, Sriparna Saha, Tanmay Sen:
Federated Meta-Learning for Emotion and Sentiment Aware Multi-modal Complaint Identification. EMNLP 2023: 16091-16103 - [c9]Apoorva Singh, Raghav Jain, Sriparna Saha:
Reimagining Complaint Analysis: Adopting Seq2Path for a Generative Text-to-Text Framework. IJCNLP (1) 2023: 241-251 - [c8]Raghav Jain, Apoorva Singh, Vivek Kumar Gangwar, Sriparna Saha:
AbCoRD: Exploiting multimodal generative approach for Aspect-based Complaint and Rationale Detection. ACM Multimedia 2023: 8571-8579 - [c7]Sarmistha Das, Apoorva Singh, Raghav Jain, Sriparna Saha, Alka Maurya:
Let the Model Make Financial Senses: A Text2Text Generative Approach for Financial Complaint Identification. PAKDD (3) 2023: 58-69 - [c6]Raghav Jain, Apoorv Verma, Apoorva Singh, Vivek Kumar Gangwar, Sriparna Saha:
Aspect-Based Complaint and Cause Detection: A Multimodal Generative Framework with External Knowledge Infusion. ECML/PKDD (6) 2023: 88-104 - 2022
- [j3]Apoorva Singh, Sriparna Saha, Md. Hasanuzzaman, Kuntal Dey:
Multitask Learning for Complaint Identification and Sentiment Analysis. Cogn. Comput. 14(1): 212-227 (2022) - [j2]Apoorva Singh, Husanbir Singh Pannu, Avleen Malhi:
Explainable information retrieval using deep learning for medical images. Comput. Sci. Inf. Syst. 19(1): 277-307 (2022) - [c5]Apoorva Singh, Soumyodeep Dey, Anamitra Singha, Sriparna Saha:
Sentiment and Emotion-Aware Multi-Modal Complaint Identification. AAAI 2022: 12163-12171 - [c4]Apoorva Singh, Arousha Nazir, Sriparna Saha:
Adversarial Multi-task Model for Emotion, Sentiment, and Sarcasm Aided Complaint Detection. ECIR (1) 2022: 428-442 - 2021
- [j1]Apoorva Singh, Sriparna Saha, Mohammed Hasanuzzaman, Anubhav Jangra:
Identifying complaints based on semi-supervised mincuts. Expert Syst. Appl. 186: 115668 (2021) - [c3]Apoorva Singh, Tanmay Sen, Sriparna Saha, Mohammed Hasanuzzaman:
Federated Multi-task Learning for Complaint Identification from Social Media Data. HT 2021: 201-210 - [c2]Apoorva Singh, Sriparna Saha:
Are You Really Complaining? A Multi-task Framework for Complaint Identification, Emotion, and Sentiment Classification. ICDAR (2) 2021: 715-731 - [c1]Kashav Piya, Quynh Anh Au, Srijal Shrestha, Apoorva Singh, Tauheed Khan Mohd:
IoT in Health Care Industry: A Promising Prospect. UEMCON 2021: 466-474
Coauthor Index
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