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Read a column of strings from csv, parse wordnet pos_tags to lemmas, enumerate most_common lemmas, weight strings via top scoring lemmas

Project description

This python package prevalent trends from a large list of short statements.
Read a column as an array of strings from csv file,
Give them their pos-tag via the PENN treebank
Convert to wordnet post-tags and keep only: ADJ / VERB / NOUN / ADV
Option for user to save this lemmas-array back to csv file
Enumerate most_common lemmas
Weight each string in the array according to the most-common lemmas it contains
Option for user to save this weight-array back to the csv file

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