用AI分析克罗地亚新闻，找趋势、查关联。
TakeLab Retriever: AI-Driven Search Engine for Articles from Croatian News Outlets
- 基于NLP技术构建，支持实体、短语、主题检索
- 可处理超千万篇过去二十年的克罗地亚新闻文章
- 适合研究媒体趋势、数字人文与信息传播的学者
TakeLab Retriever 是一个面向克罗地亚新闻媒体的AI驱动搜索系统，旨在发现、收集并语义分析克罗地亚新闻网站上的文章。它为研究者提供一般搜索引擎无法捕捉的趋势、模式与关联。该系统采用先进的自然语言处理（NLP）方法，通过网页应用支持用户以命名实体、短语和主题为关键词进行文章筛选。本文分为两部分：第一部分介绍使用方式，第二部分详述系统设计，涵盖软件工程挑战及解决方案，提出一个微服务架构的语义搜索系统，可处理超过十年间发布的十万余篇新闻文章。
原文摘要 · Abstract (English)
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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