fingeredman/text-mining-for-practice
파이썬 라이브러리를 활용해 텍스트 분석을 수행하는 방법에 대해 다룹니다.
This project provides practical methods for analyzing Korean text data, essential for extracting value from unstructured information. It guides users through collecting raw text from various online sources, processing it for analysis, and applying machine learning techniques to gain insights. Anyone who needs to understand patterns, sentiment, or key information hidden within large volumes of Korean text, such as customer reviews, news articles, or social media posts, will find this useful.
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Use this if you need to analyze unstructured Korean text data from real-world sources and want to learn practical, step-by-step techniques for doing so.
Not ideal if you are looking for a pre-built, ready-to-use application and are not interested in learning the underlying programming concepts or customizing the analysis.
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16
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Language
Jupyter Notebook
License
Apache-2.0
Category
Last pushed
Sep 18, 2022
Commits (30d)
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