Open Source Text Processing Project: tagger

Deep Learning Specialization on Coursera

tagger: A Python module for extracting relevant tags from text documents

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Module for extracting tags from text documents.

Extracting tags from a text document involves at least three steps: splitting the document into words, grouping together variants of the same word, and ranking them according to their relevance. These three tasks are carried out respectively by the Reader, Stemmer and Rater classes, and their work is put together by the Tagger class.

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