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Sentiment Analysis API Script

By ghulam_muhammad

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Overview

Sentiment Analysis API Script is a powerful AI-driven solution designed to analyze and classify text based on emotional tone. Built for developers, businesses, and data analysts, this script enables you to automatically detect whether a piece of content is positive, negative, or neutral using natural language processing (NLP) techniques.


The script provides a ready-to-use API that can be integrated into websites, applications, and SaaS platforms. It is ideal for analyzing customer feedback, social media comments, product reviews, and user-generated content in real time. With fast processing and accurate results, it helps businesses understand user sentiment and make data-driven decisions.


Designed for flexibility and scalability, the Sentiment Analysis API Script can be deployed on your own server and customized according to your needs. It supports JSON-based API requests and responses, making integration simple and developer-friendly. Whether you are building a review system, chatbot, analytics dashboard, or AI-powered application, this tool provides a reliable and efficient sentiment analysis solution.

Features
  • AI-powered sentiment analysis (Positive / Negative / Neutral)
  • REST API with JSON request & response
  • Real-time text processing
  • Lightweight and fast performance
  • Easy integration with any application
  • Customizable model and response output
  • Batch text analysis support
  • Clean and developer-friendly API structure
  • Supports multiple input formats
  • Scalable for high-volume requests
Requirements
  • PHP / Python (depending on implementation)
  • Web server (Apache / Nginx)
  • Basic API knowledge
  • JSON support
  • Optional: Machine learning libraries (for advanced customization)
Instructions
  1. AI-powered sentiment analysis (Positive / Negative / Neutral)
  2. REST API with JSON request & response
  3. Real-time text processing
  4. Lightweight and fast performance
  5. Easy integration with any application
  6. Customizable model and response output
  7. Batch text analysis support
  8. Clean and developer-friendly API structure
  9. Supports multiple input formats
  10. Scalable for high-volume requests


  • Analyze customer reviews and feedback
  • Monitor social media sentiment
  • Improve chatbot responses
  • Track brand reputation
  • Filter toxic or negative content
  • Build AI-powered analytics dashboards
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Sales and analytics coming soon.