Large-Scale Sentiment Analysis with PySpark

Author(s): Clément Delteil

Originally published on Towards AI.

Comparative study of classification algorithms and feature extraction functions implemented in PySpark on 1,600,000 Tweets.

Photo by Nik on Unsplash

As entities become more interconnected, the volume of data to be processed grows exponentially. These entities, whether governmental or for-profit, have a real interest in our feelings, and our opinions. This data is sometimes referred to as the new black gold, which tells you how crucial it has become. They are now the basis for all decisions.

Before taking a public position on a subject, such an entity has to sound out the opinion of its members. It usually knows its audience well but this can be complicated when its content, whatever it is, is exposed on… Read the full blog for free on Medium.

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Published via Towards AI