This article will explain the steps of data cleaning and future extraction for text analysis done by using Neural Language Processing (NLP).

On the internet, there are many great text cleaning guides. Some of the guides are making feature extraction after text cleaning while some of them are making before the text cleaning. Both of the approaches work fine. However, here is the issue that gets little attention: In the data cleaning process, we are losing some possible features(variables). We need feature extraction before the data cleaning. On the other hand, some features make sense only when they are extracted after the data cleaning. Thus, we also need feature extraction after the data cleaning. This study pays attention to this point, and this is what makes this study unique.

#data-science #python #nlp #data-cleaning #text-mining