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mattmurray committed Aug 29, 2017
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This repo contains code for pre-processing and vectorizing raw text collected from 85,000 news articles downloaded from a variety of online broadsheet newspapers and newswires covering finance, business and the economy.
A detailed blog post can be found at http://mattmurray.net/topic-modelling-financial-news-with-natural-language-processing/
![Article counts by year](articles_by_year.png "Article counts by year")
The data was pre-processed with the removal of stop words, punctuation and numbers, and the words were stemmed using the Snowball stemmer.

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