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Some of the most common text analysis techniques in Python: word count, lemmatization, POS tagging, NER.

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Python script for text analysis

Here are templates and notes for the main text analysis techniques, edited both in Jupiter notebooks or in .py files. A lot of scripts, suggestions and techniques are taken and modified from the Nathan Kelber's https://github.com/ithaka/tdm-notebooks repository. All the contents have been modified according to local needs (for example Italian language) and uses.

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Some of the most common text analysis techniques in Python: word count, lemmatization, POS tagging, NER.

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