In today’s digital age, analyzing people’s emotions from text data has become a powerful way to understand opinions, customer feedback, and public sentiment. Whether it’s social media posts, product reviews, or surveys, Sentiment Analysis helps organizations make smarter, data-driven decisions.
The AI-Based Sentiment Analysis System uses Spring Boot, Ollama, and ReactJS to detect whether text expresses positive, negative, or neutral emotions. This modern full-stack AI application combines the power of Java Spring Boot for backend, ReactJS for frontend, and Ollama for local AI inference to deliver real-time, privacy-friendly sentiment insights.
Project Overview
The project provides an end-to-end web solution for sentiment analysis where users can input any text, and the system instantly classifies it using an integrated Ollama LLM (Large Language Model) running locally or via API.
This setup avoids cloud dependencies, ensuring faster response times and complete data privacy. It’s ideal for students, developers, and organizations wanting to explore how AI and Java Spring Boot can be combined to build intelligent applications.
Features & Functionality
✅ Text Sentiment Classification – Detects whether input text is positive, negative, or neutral.
✅ Interactive Frontend – User-friendly UI built with ReactJS.
✅ Spring Boot Backend – Handles API requests and communicates with the Ollama AI model.
✅ Real-Time AI Responses – Uses Ollama to process text and generate sentiment instantly.
✅ Cross-Origin Integration – Enabled via CORS for seamless frontend-backend communication.
✅ Scalable & Extendable – Can be expanded to include emotion detection or sarcasm analysis.
Tech Stack
- Backend: Spring Boot (Java 17+)
- AI Model: Ollama (local LLM like Llama 3 or Mistral)
- Frontend: ReactJS
- APIs: RESTful API (Spring Boot ↔ ReactJS)
- Build Tools: Maven, npm
- Languages: Java, JavaScript
- Environment: Local or Docker-based deployment
System Workflow
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User Input (Frontend)
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The user enters text on the ReactJS interface.
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API Request (Backend)
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Spring Boot receives the request and sends it to Ollama for analysis.
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AI Inference (Ollama)
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The Ollama LLM model analyzes the sentiment of the text.
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Response Display
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The result (Positive / Negative / Neutral) is returned and displayed instantly in the UI.
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Contact to get the Source Code
Skype Id: jcodebun
Email: jcodebun@gmail.com
WhatsApp: +91 8827363777
Price: 2999 Inr
Conclusion
The AI-Based Sentiment Analysis Project using Spring Boot, Ollama, and ReactJS demonstrates how to integrate AI language models with modern full-stack development. By combining Java’s enterprise power, Ollama’s local AI inference, and React’s dynamic UI, this project delivers a real-time and secure sentiment analysis experience.
It’s an ideal project for college students, developers, and businesses who want to explore how Spring Boot and AI can work together for intelligent applications.
