基于 Python 中 MeCab 库对日语文章进行文本分析处理实现
Implementation of Text Analysis and Processing for Japanese Articles Based on MeCab Library in Python
文本分析处理日益变成重要的课题之一，关于 jieba 中文分词的示例已有许多，但 是关于日语语言分词的相关研究甚少，本文旨在介绍 Python 中 MeCab 库对日语进行分词的 功能，并且给出相关案例代码，以便根据需要实现日语分词功能。
ext analysis and processing have become increasingly important topics, and there are many examples of Chinese word segmentation in jieba. However, there is little research on Japanese language word segmentation. This article aims to introduce the MeCab librarys function of segmenting Japanese words in Python, and provide relevant case codes to implement Japanese word segmentation as needed.
常用外国语
MeCab文本处理Python
MeCabext analysis and processingPython
.基于 Python 中 MeCab 库对日语文章进行文本分析处理实现[EB/OL].(2024-04-04)[2025-07-21].https://chinaxiv.org/abs/202404.00067.点此复制
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