Emotion Detection from Text using Natural Language Processing and Neural Networks

Authors

  • S. Arun Kumar S. Research Scholar, Department Of Computer and Information Science, Annamalai University, Annamalai Nagar, Tamil Nadu, India
  • A. Geetha Professor, Department Of Computer Science and Engineering, Annamalai University, Annamalai Nagar, Tamil Nadu, India

Keywords:

emotion word ontology, human-computer interaction, textual emotion detection

Abstract

Emotion may be shown in a variety of ways, including voice, written texts, and facial expressions and movements. Emotion detection in text is essentially a content-based classification challenge that combines concepts from natural language processing and machine learning. This paper addresses textual data-based emotion identification algorithms and emotion detection.

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Published

02.02.2024

How to Cite

Kumar S., S. A. ., & Geetha , A. . (2024). Emotion Detection from Text using Natural Language Processing and Neural Networks. International Journal of Intelligent Systems and Applications in Engineering, 12(14s), 609–615. Retrieved from https://ijisae.org/index.php/IJISAE/article/view/4707

Issue

Vol. 12 No. 14s (2024)

Section

Research Article

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