GitHub / python-supply / strings-regular-expressions-and-text-data-analysis
While built-in string methods and regular expressions have limitations, they can be leveraged in creative ways to implement scalable workflows that process and analyze text data. This article explores these tools and introduces a few useful peripheral techniques within the context of a use case involving a large text data corpus.
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License: mit
Language: Jupyter Notebook
Size: 8.95 MB
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Created at: over 5 years ago
Updated at: over 3 years ago
Pushed at: over 4 years ago
Last synced at: about 2 years ago
Topics: python, python-articles, python-introduction, python-string, python-strings, python-text-analysis, regular-expression, regular-expressions, text-data