Rephrase With Emotion: Emotion-Aware Sentence Rewriting Using Fine-Tuned Transformer Models

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Authors: R. Jai Parvathi, Adline Rajasenah Merryton, Dr. J. Anne Wincy
Cited by: 0

Abstract

In today's digital communication landscape, expressing emotions in text is vital to avoid misinterpretation and improve clarity, empathy, and user engagement.The "Rephrase with Emotion" system is an intelligent text transformation tool designed to rephrase sentences into emotionally expressive alternativessuch as polite, angry, sad, or excitedwithout altering the underlying meaning.The core of the system relies on fine-tuned transformer-based language models, such as BERT and GPT variants, trained using curated datasets labeled with emotional tones.Instead of classifying sentiment, this approach generates contextually rich rephrasing by conditioning output on selected emotional prompts.The system architecture includes input processing, tone-selection modules, core transformation and parallel display of original and rephrased outputs.The model employs controlled text generation techniques, ensuring emotional accuracy while retaining factual integrity.This tool is ideal for enhancing digital messaging in chatbot, social apps, and email tools by making communication more human, nuanced, and emotionally aware.

Fields of Study & Subjects

Sentiment Analysis and Opinion Mining Topic Modeling Speech and dialogue systems

Publication details

Journal / source
International Journal of Research Publication and Reviews
Volume
7
Issue
1
Pages
851–857
Publication date
1 January 2026