TakeLab Retriever: AI-Driven Search Engine for Articles from Croatian News Outlets
November 29, 2024 ยท Declared Dead ยท ๐ arXiv.org
"No code URL or promise found in abstract"
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Authors
David Dukiฤ, Marin Petriฤeviฤ, Sven ฤurkoviฤ, Jan ล najder
arXiv ID
2411.19718
Category
cs.CL: Computation & Language
Cross-listed
cs.IR
Citations
3
Venue
arXiv.org
Last Checked
5 months ago
Abstract
TakeLab Retriever is an AI-driven search engine designed to discover, collect, and semantically analyze news articles from Croatian news outlets. It offers a unique perspective on the history and current landscape of Croatian online news media, making it an essential tool for researchers seeking to uncover trends, patterns, and correlations that general-purpose search engines cannot provide. TakeLab retriever utilizes cutting-edge natural language processing (NLP) methods, enabling users to sift through articles using named entities, phrases, and topics through the web application. This technical report is divided into two parts: the first explains how TakeLab Retriever is utilized, while the second provides a detailed account of its design. In the second part, we also address the software engineering challenges involved and propose solutions for developing a microservice-based semantic search engine capable of handling over ten million news articles published over the past two decades.
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