A Comprehensive Guide For Text Classification using PySpark MLlib

Author(s): Himanshu Tripathi

Originally published on Towards AI.

Introduction

Have you ever wondered if you ever post something on social media websites that goes against their community standard, how can they identify it and perform appropriate action on that?

Well, the idea behind this is called Classification, whether it’s text classification, image classification, video classification, or audio classification. Still, the concept stays the same; we’re trying to classify relevant and irrelevant content.

Problem Statement

You are working in a big tech company that wants to analyze their customer’s emotions based on their social media content so as to take appropriate initiatives for their customers.

You need to classify between 6 different categories, i.e.,… Read the full blog for free on Medium.

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Published via Towards AI