Why preprocess ? Helps make for better input data When performing machine learning or other statistical methods Examples: Tokenization to create a bag of words Lowercasting words Lemmetization/Stemming Shorten words to their root stems Removing stop words, punctuation or unwanted tokens Good to experiment with different approaches   Text preprocessing with Python: from nltk.corpus import … Continue reading Introduction to Natural Language Processing in Python – (Simple text preprocessing)