RTE-Sentiment Analysis

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Transformer.js ✅ Sentiment Analysis ✅

Transformer.js: Used in this project for AI-driven sentiment analysis, providing deep learning capabilities for evaluating user input.

Sentiment Analysis: Powered by Transformers to ensure accurate text evaluation, helping users craft well-balanced and meaningful content.

Introduction

The Rich Text Editor is a web-based application designed for editing formatted text, offering an intuitive interface that allows users to apply various styles, including bold, italics, and lists.

Key Features

• User-Friendly Interface: Simplified navigation for an enhanced writing experience.
• Text Formatting Tools: Comprehensive options for formatting text (bold, italics, underline).
• Sentiment Analysis Integration: Real-time analysis using AI models to evaluate sentiment in user input.
• Dynamic Warnings: Immediate alerts and feedback for potential issues within the text.

Technology Stack

• Built with React.js for a responsive user interface.
• Utilizes Quill.js for rich text editing capabilities.
• Integrates with the @xenova/transformers library for advanced sentiment analysis features.

Use Cases

• Content Creation: Ideal for bloggers, writers, and content creators who need robust text formatting and sentiment feedback.
• Customer Support: Enables support agents to draft and review responses with sentiment analysis to maintain tone and professionalism.
• Educational Platforms: Useful for students and educators to write, edit, and receive feedback on assignments or projects.
• Corporate Communications: Assists teams in drafting internal and external communication with sentiment insights for better engagement.
• Marketing: Helps marketers craft compelling copy while ensuring the desired sentiment is conveyed.
• Collaborative Writing: Supports collaborative document editing where users can format text and receive instant feedback.