Takes a set of text and breaks it into distinct parts, returning the most common combinations of words found consecutively within the provided text. The tool works 2 distinct ways:
.csv file where each row is a text record and breaks each row into N ngrams and returns the output breaking down the most common combinations up to fragments containing up to 6 words. By providing a .csv to the tool, it assumes the user is providing the text content to ngram.webproperties to pull its reported query corpus from Google’s Search Console and returns the output of each part of speech found in the queries and attaches an associated clicks and impressions total.