taishi-i/nagisa-tutorial-pycon2019
Code for PyCon JP 2019 talk "Python による日本語自然言語処理 〜系列ラベリングによる実世界テキスト分析〜"
This project helps Japanese language practitioners analyze text by breaking down sentences into individual words and tagging their parts of speech. It takes raw Japanese text as input and outputs segmented words with their grammatical roles. This is useful for anyone working with Japanese text data, such as researchers, marketers, or content analysts.
No commits in the last 6 months.
Use this if you need to perform fundamental text analysis on Japanese documents, such as preparing data for word clouds or identifying key grammatical components.
Not ideal if you are working with languages other than Japanese or require highly specialized linguistic analysis beyond word segmentation and part-of-speech tagging.
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Jupyter Notebook
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MIT
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Last pushed
Nov 07, 2019
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