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hello people from the future welcome to normalized nerd so Im continuing with my series on national language processing and this is the third video and today Im gonna be talking about text cleaning and pre-processing if you are new to my channel then please subscribe my channel and hit the bell icon I make videos about machine learning and data science regularly so todays topic is actually very important in natural language processing because you need to filter your text as much as you can to get the best result because you know that text data can be very very diverse and while cleaning the text you need to keep in mind what you are trying to do with your data because the text cleaning and pre-processing will depend a lot on your application and your method towards the problem that you are trying to solve so I will give you some examples of the common text pre-processing techniques and I will tell you which one you should use in which case so first of all I am importing the two lib