
International Journal For Multidisciplinary Research
E-ISSN: 2582-2160
•
Impact Factor: 9.24
A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal
Home
Research Paper
Submit Research Paper
Publication Guidelines
Publication Charges
Upload Documents
Track Status / Pay Fees / Download Publication Certi.
Editors & Reviewers
View All
Join as a Reviewer
Get Membership Certificate
Current Issue
Publication Archive
Conference
Publishing Conf. with IJFMR
Upcoming Conference(s) ↓
WSMCDD-2025
GSMCDD-2025
Conferences Published ↓
RBS:RH-COVID-19 (2023)
ICMRS'23
PIPRDA-2023
Contact Us
Plagiarism is checked by the leading plagiarism checker
Call for Paper
Volume 7 Issue 2
March-April 2025
Indexing Partners



















Exploring Optimization Technique for Emotion Detection in Hindi Language
Author(s) | Jayesh Kumar, Meenakshi Srivastava, Pratibha Maurya, Ranjana Rajnish |
---|---|
Country | India |
Abstract | This abstract presents an exploration of optimization techniques for emotion detection in the Hindi language, focusing on the integration of Particle Swarm Optimization (PSO), Firefly Algorithm, and Cuckoo Algorithm. Emotion detection in Hindi text data poses a significant research challenge due to the intricate nuances of human emotions expressed in this linguistic context. The increasing demand for accurate and efficient emotion detection algorithms in Hindi text data necessitates the exploration of advanced optimization techniques. This study aims to leverage PSO, inspired by bird flock social behavior, Firefly Algorithm, mimicking the flashing patterns of fireflies, and Cuckoo Algorithm, simulating the breeding behavior of cuckoo birds, to enhance the performance of emotion detection models in Hindi language. By integrating these optimization techniques into emotion detection models, researchers seek to improve the accuracy, efficiency, and robustness of algorithms in capturing subtle emotional nuances expressed in text data. This interdisciplinary approach not only bridges the gap between natural language processing and optimization algorithms but also opens up new avenues for advancing emotion detection technology in multilingual and multicultural contexts. The research endeavors to develop innovative solutions that can effectively analyze and interpret emotions in Hindi text data with greater precision and sensitivity. Through this exploration, the study aims to contribute to the growing body of research on emotion detection in diverse linguistic contexts and pave the way for more sophisticated and culturally sensitive applications in the field of natural language processing. |
Keywords | Particle Swarm Optimization, Firefly Algorithm, Cuckoo Algorithm, Emotion Detection, Hindi Language |
Field | Computer Applications |
Published In | Volume 7, Issue 2, March-April 2025 |
Published On | 2025-03-08 |
Share this

E-ISSN 2582-2160

CrossRef DOI is assigned to each research paper published in our journal.
IJFMR DOI prefix is
10.36948/ijfmr
Downloads
All research papers published on this website are licensed under Creative Commons Attribution-ShareAlike 4.0 International License, and all rights belong to their respective authors/researchers.
