How to Quickly Preprocess and Visualize Text Data with TextHero

#artificialintelligence 

When we are working on any NLP project or competition, we spend most of our time on preprocessing the text such as removing digits, punctuations, stopwords, whitespaces, etc and sometimes visualization too. After experimenting TextHero on a couple of NLP datasets I found this library to be extremely useful for preprocessing and visualization. This will save us some time writing custom functions. We will apply techniques that we are going to learn in this article to Kaggle's Spooky Author Identification dataset. You can find the dataset here.

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