Ultimate guide to deal with Text Data (using Python) – for Data Scientists and Engineers
Introduction
One of the biggest breakthroughs required for achieving any level of artificial intelligence is to have machines which can process text data. Thankfully, the amount of text data being generated in this universe has exploded exponentially in the last few years.
It has become imperative for an organization to have a structure in place to mine actionable insights from the text being generated. From social media analytics to risk management and cybercrime protection, dealing with text data has never been more important.
In this article we will discuss different feature extraction methods, starting with some basic techniques which will lead into advanced Natural Language Processing techniques. We will also learn about pre-processing of the text data in order to extract better features from clean data.
In addition, if you want to dive deeper, we also have a video course on NLP