使用可用的塞尔维亚语NLP技术对文本进行探索性分析

Luka Laković, Stevan Cakic, Ivan Jovović, Dejan Babic
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引用次数: 0

摘要

本文结合塞尔维亚语现有的自然语言处理技术和传统的数据科学方法,分析收集到的与COVID-19大流行相关的新闻标题数据集。作为塞尔维亚语自然语言处理技术的补充,建立了一个专门的数据库,试图加强该领域内的研究。在本文中,对数据库进行了探索性分析,并对数据工作的前景进行了深入的探讨。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Exploratory analysis of text using available NLP technologies for Serbian language
This paper combines available NLP technologies for Serbian languages and traditional data science methods in order to analyze collected dataset on the news headlines related to the COVID-19 pandemics. As an addition to NLP technologies for the Serbian language, a specialized database was created in an attempt to enhance the research within the field. Within the paper, the database was exploratory analyzed, and perspectives of the work with the data were thoroughly explored.
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