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Python has many text processing modules, such as regular expressions, NLTK, jieba and TextBlob, etc. The
regular expression is a tool that defines character patterns and can be used to find, replace, and split text. NLTK is an open source python natural language processing kit that can be used to analyze textual data and extract useful information. jieba is a Chinese word segmentation device that can split Chinese text into individual words. TextBlob is a python library that makes it easy to process text and includes features such as partof speech tagging, sentiment analysis, and translation.
text processing can be roughly divided into three parts:
- Word segmentation: First, the original text needs to be divided into individual words, which is the basis of text processing.
- Feature extraction: Extract some useful information from the original text through feature extraction.
- Classification: The extracted features are processed and the text is classified into corresponding categories.
To learn more about python text processing, you can search online. For an in-depth look at the various text processing methods in python, You can visit the Python Data Science Manual website( https://datascience.berkeley.edu/handbook/text/%EF%BC%89%E3%80%82%E8%BF%99%E9%87%8C%E6%9C%89%E5%A4 %A7%E9%87%8F%E4%BB%8B%E7%BB%8Dpython%E6%96%87%E6%9C%AC%E5%A4%84%E7%90%86%E6%96%B9%E6%B3%95%E7%9A%84%E5%86%85%E5%AE%B9%EF %BC%8C%E5%8C%85%E5%90%AB%E4%BA%86%E6%AD%A3%E5%88%99%E8%A1%A8%E8%BE%BE%E5%BC%8F%E3%80%81NLTK%E3%80%81jieba%E5%92%8CTextBl Ob % E7 AD E5%86% % 89% % 85% E3 B9 AE E5% % % % 80% 82 < / span > < / a > < br / > if you have any help answer, hope to adopt.
