Published on: April 2026
EMOTION-BASED MESSAGE FORMATTING SYSTEM USING MACHINE LEARNING
B. Saritha K. Sai Siddharth K. Prasanna P. Aravind S. Taj Unnissa
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Abstract
In digital communication, the emotional tone of text is often lost, leading to misunderstandings and misinterpretations. The Emotion-Based Message Formatting System addresses this issue using Machine Learning (ML) and Natural Language Processing (NLP). The system automatically detects the emotional intent behind a user’s message and dynamically reformats it to express the emotion more clearly. It identifies emotions such as happiness, sadness, anger, and neutrality, then applies styling and tone adjustments accordingly. This application enhances digital interaction by improving clarity and empathy in text-based communication. The prototype demonstrates that automatic emotion detection, when combined with intelligent formatting, significantly reduces emotional confusion in messaging platforms, making communication more expressive and context-aware.
How to Cite this Paper
Saritha, B., Siddharth, K. S., Prasanna, K., Aravind, P. & Unnissa, S. T. (2026). Emotion-Based Message Formatting System Using Machine Learning. International Journal of Creative and Open Research in Engineering and Management, <i>02</i>(04). https://doi.org/10.55041/ijcope.v2i4.157
Saritha, B., et al.. "Emotion-Based Message Formatting System Using Machine Learning." International Journal of Creative and Open Research in Engineering and Management, vol. 02, no. 04, 2026, pp. . doi:https://doi.org/10.55041/ijcope.v2i4.157.
Saritha, B.,K. Siddharth,K. Prasanna,P. Aravind, and S. Unnissa. "Emotion-Based Message Formatting System Using Machine Learning." International Journal of Creative and Open Research in Engineering and Management 02, no. 04 (2026). https://doi.org/https://doi.org/10.55041/ijcope.v2i4.157.
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References
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- •Published on: Apr 08 2026
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