uosdmlab/playdata-zeppelin-notebook
Zeppelin 화재 뉴스 기사 분류 예제
This project helps you automatically sort Korean news articles to identify those related to "fire" incidents. You input raw Korean news text, and the system outputs a classification indicating whether each article is about a fire or not. This is useful for data analysts, media monitoring professionals, or researchers who need to categorize large volumes of Korean text data efficiently.
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Use this if you need a practical example of how to build a Korean text classification system using Spark ML within a Zeppelin Notebook environment.
Not ideal if you are looking for a ready-to-use API or a tool that doesn't require setting up a Spark and Zeppelin environment.
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Oct 26, 2016
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