https://foojayio.github.io/website/today/author/markus-eisele/Articles written by Markus Eisele on foojay.io - Friends of OpenJDKHugoen-usWed, 25 Jun 2025 12:20:26 +0000https://foojayio.github.io/website/today/build-a-sentiment-analysis-api-in-java-with-quarkus-and-local-llms/Wed, 25 Jun 2025 12:20:26 +0000https://foojayio.github.io/website/today/build-a-sentiment-analysis-api-in-java-with-quarkus-and-local-llms/<p><img src="https://foojayio.github.io/website/today/build-a-sentiment-analysis-api-in-java-with-quarkus-and-local-llms/49de875e-fe8c-40d2-9613-61a6c8270eb3_1536x1024-700x467.webp" alt="Abstract image" loading="lazy"> </p> <p>In a world full of opinions, tweets, reviews, chats, emails, understanding the tone behind words is crucial. Whether you&rsquo;re building a feedback system, monitoring brand reputation, or adding emotion detection to a chatbot, sentiment analysis plays a key role. It turns raw text into actionable signals: Is the customer happy? Frustrated? Neutral?</p> <p>Traditionally, this kind of natural language processing (NLP) required cloud APIs or heavyweight ML stacks. But now, thanks to modern Java frameworks like <a href="https://quarkus.io/" target="_blank" rel="noopener noreferrer">Quarkus</a> , local Large Language Models (LLMs), and the <a href="https://docs.quarkiverse.io/quarkus-langchain4j/dev/index.html" target="_blank" rel="noopener noreferrer">LangChain4j</a> library, you can build a sentiment analyzer that runs entirely on your machine&mdash;no cloud account, no API keys, no surprise billing.</p>