Abstract
Sentiment Analysis Twitter Microservices Example is an open-source Digital Marketing & SEO project. A sample application that demonstrates how to build a graph processing platform to analyze sources of emotional influence on Twitter. The services colored in red are external APIs that are used to collect data and to run sentiment analysis and other natural language machine learning algorithms. It is built using Java, Spring Boot. The complete source code is publicly available on GitHub under the Apache License 2.0, making it a useful reference for students building a Digital Marketing & SEO mini project or final-year project.
1. Introduction
The services colored in red are external APIs that are used to collect data and to run sentiment analysis and other natural language machine learning algorithms.
A sample application that demonstrates how to build a graph processing platform to analyze sources of emotional influence on Twitter. A guided tutorial is provided with this sample project.
This repository is actively being worked on and has not yet transformed into its final state. Please check back periodically to see updates. If you have trouble running the example, please post to the issue tracker.
2. Objective
A sample application that demonstrates how to build a graph processing platform to analyze sources of emotional influence on Twitter.
This project demonstrates how Java, Spring Boot can be applied to a real-world Digital Marketing & SEO problem.
4. Technology Stack
5. System Requirements
General requirements for this technology stack — check the README for exact versions.
- JDK 11 or later
- Maven / Gradle
- IntelliJ IDEA, Eclipse or Android Studio
- Git (to clone the repository)
6. Installation & Setup
git clone https://github.com/kbastani/sentiment-analysis-twitter-microservices-example.git
cd sentiment-analysis-twitter-microservices-exampleFull setup instructions are in the project README.
7. Future Enhancements
Suggested extensions you can add to make this your own project.
- Export reports to Google Sheets or PDF
- Schedule weekly automated reports
- Add competitor comparison
8. Viva / Review Questions
Common questions examiners ask for projects in this domain.
- Which marketing or SEO problem does this tool solve?
- Which data sources or APIs does it use (Search Console, Analytics, social platforms)?
- Which metrics or KPIs does it report and how are they calculated?
- How could the output help a business make decisions?
- How would you schedule it to run automatically?
9. Source Code & License
This project is developed by kbastani and published on GitHub under the Apache License 2.0. Please follow the license terms and credit the original author when you use or modify this code.
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