Open Access Journal

ISSN : 2394-2320 (Online)

International Journal of Engineering Research in Computer Science and Engineering (IJERCSE)

Monthly Journal for Computer Science and Engineering

Open Access Journal

International Journal of Engineering Research in Computer Science and Engineering (IJERCSE)

Monthly Journal for Computer Science and Engineering

ISSN : 2394-2320 (Online)

Cross-Cultural Text and Speech Tone Detection

Author : Azba Hussein,Vishal T,Neelapu Paarthiv Reddy,Ms Punita D

Date of Publication : 29th June 2024

Abstract:As our world becomes more interconnected, the importance of understanding and respecting different cultural nuances in written communication is increasingly evident. This project aims to create a tool that can detect the tone of text messages with accuracy, catering specifically to those who aren't fluent in English and may struggle with its subtleties. Our goal is to make sure everyone, regardless of language background, feels understood and included in their online interactions.

Our approach involves using advanced technology to analyze text from various languages and pinpoint the intended tone. Instead of relying on complex linguistic cues, we're opting for a more universal language: emojis. By representing tone through these familiar symbols, we hope to bridge language gaps and offer a more intuitive and personalized communication experience for users worldwide.

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