Emoji Detection System Using Machine Learning

• Author(s): Priyanshu Sharma; Soumya Singh; Dr. Anuj Chandila; Prof.(Dr.) Sanjay Pachauri
• Paper ID: 1712361
• Page: 2565-2566
• Published Date: 04-12-2025
• Published In: Iconic Research And Engineering Journals
• Publisher: IRE Journals
• e-ISSN: 2456-8880
• Volume/Issue: Volume 9 Issue 5 November-2025

Abstract

This paper explores the creation of an emoji detection system using machine learning, developed in a practical and exploratory manner rather than in a polished theoretical style. The study grew from observing how often people rely on emojis to express emotions that do not always come across in written text. By experimenting with commonly used models and gradually testing different approaches, the system was built to identify emojis in both text and images with reasonable accuracy. Although not perfect, the work reflects a realistic research process and offers insights for further improvement.

Keywords

Emoji Detection, Machine Learning, CNN, BERT, Natural Language Processing.

Citations

IRE Journals:
Priyanshu Sharma, Soumya Singh, Dr. Anuj Chandila, Prof.(Dr.) Sanjay Pachauri "Emoji Detection System Using Machine Learning" Iconic Research And Engineering Journals Volume 9 Issue 5 2025 Page 2565-2566 https://doi.org/10.64388/IREV9I5-1712361

IEEE:
Priyanshu Sharma, Soumya Singh, Dr. Anuj Chandila, Prof.(Dr.) Sanjay Pachauri "Emoji Detection System Using Machine Learning" Iconic Research And Engineering Journals, 9(5) https://doi.org/10.64388/IREV9I5-1712361