Amitext: Emotionally Intelligent Message Rewriting Using Transformer Models And Reinforcement Learning

• Author(s):

  Nivetha S M | Rithika R | Sangamithra T | Vaishnaavi A V | Madhumitha G

• Keywords:

  Politeness Enhancement, Preserving Meaning, Large Language Model, Reinforcement Learning, Proximal Policy Optimization, Semantic Understanding, Real-time Text Rewriting, Human Feedback

• Abstract:

  Amitext Is A Premium Message Rewriting Software That Will Enhance The Standards Of Online Communication By Transforming Emotionally Toned Or Offensive Text Messages To Friendly, Sympathetic And Constructive Messages In A Manner That Will Not Corrupt The Original Content Of The Text. Negative Or Insensitive Messages In Online Communities, E.g. Customer Service Portals, Peer-support Forums, And Mental Health Forums, Are Likely To Be Misleading, Create Conflict And Cause Emotional Trauma. Moderation Systems And Rule-based Rewriting Systems Cannot Produce The Emotionally Subtlety And In Most Cases The Systems Produce Responses That Are Grammatically Correct But Tone-deaf. A Different Solution To This Weakness Is Provided By Amitext, Which Integrates Transformer-based Language Models, Sentiment Classification, And Reinforcement Learning (RL) To Analyze Tone, Intent, And Meaning Jointly And Then Rewrite. It Is Remarkable Due To The Most Innovative Feedback Loop Of Adaptive Rewriting, That Serves To Refine The Quality Of The Rewriting In A Continuous Fashion, Owing To The Multi-objective Rewards On The Necessity To Retain The Meaning, Enhance Politeness, And Match Sentiment. Amitext Is A Tool, Unlike The Fixed Filters Or Template-driven Paraphrasers; The More It Interacts With The Human, The More It Becomes More And More Conscious. Amitext Is An Effective And Scalable Empathy Awareness, Tone Fully Customizable And Adaptive Learning To Promote Healthier Communication And Reduce Digital Friction On The Online Platforms.

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Other Details

• Paper id:

  IJSARTV12I4105183

• Published in:

  Volume: 12 Issue: 4 April 2026

• Publication Date:

  2026-04-28

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