Gaurav Negi

Orcid: 0000-0001-9846-6324

According to our database1, Gaurav Negi authored at least 10 papers between 2021 and 2026.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Semantically Enriching Investor Micro-blogs for Opinion-Aware Emotion Analysis: A Practical Approach.
CoRR, May, 2026

Large Language Models as Automatic Annotators and Annotation Adjudicators for Fine-Grained Opinion Analysis.
CoRR, January, 2026

2025
LLMs and Emotional Intelligence: Evaluating Emotional Understanding Through Psychometric Tools.
Proceedings of the 33rd ACM Conference on User Modeling, Adaptation and Personalization, 2025

LTG at SemEval-2025 Task 10: Optimizing Context for Classification of Narrative Roles.
Proceedings of the 19th International Workshop on Semantic Evaluation, 2025

Towards Semantic Integration of Opinions: Unified Opinion Concepts Ontology and Extraction Task.
Proceedings of the 5th Conference on Language, Data and Knowledge, 2025

Towards Temporal Knowledge-Base Creation for Fine-Grained Opinion Analysis with Language Models.
Proceedings of the Joint Proceedings of the 3rd Workshop on Knowledge Base Construction from Pre-Trained Language Models and the 4th Challenge on Language Models for Knowledge Base Construction (KBC-LM+LM-KBC 2025) co-located with the 24th International Semantic Web Conference (ISWC 2025), 2025

LUCE: A Dynamic Framework and Interactive Dashboard for Opinionated Text Analysis.
Proceedings of the 31st International Conference on Computational Linguistics, 2025

2024
MaCmS: Magahi Code-mixed Dataset for Sentiment Analysis.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

A Hybrid Approach to Aspect Based Sentiment Analysis Using Transfer Learning.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

2021
Detecting Deepfake Videos Using Euler Video Magnification.
Proceedings of the Media Watermarking, 2021


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