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welcome in the second section of our course in this section we see how to clean our text data so firstly well focus on that organization problem well see how to tokenize input data next well be cleaning stop words from text input next well be removing data specific words that has negative impact at the end well see how to handle white spaces we will see that theres a lot of white spaces a lot of types that could occur in the input text we will see how to handle them and this a first video in which will focus on tokenizing and also on installing proper libraries so first we will be analyzing input data then we try to tokenize our input data into tokens so this will be an array of strings will be using natural language toolkit that is a very good and well proven library in the Python environment so how tokenize works so we have a simple text like this is some text this is an input to our tokenizer and output should be this is some text having that we will split our input into our
