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[Music] hello and welcome back to the series on topic modeling and text classification for the purposes of the digital humanities in this part part two we are going to be exploring tf idf or term frequency inverse document frequency and were going to follow a pattern throughout the rest of this series where each part is going to have three or four videos video one is going to be about the concepts behind the method so explaining the message method thoroughly video two will be on the necessary libraries to implement those methods and then video 3 is going to be the python code for actually using those libraries to perform the method video 4 in a series will be on the data visualization or other little things that might be necessary to take into account such as going back and adjusting the parameters of the various methods that were doing so thats the general outline going forward now as this is the first video we are going to be asking a fundamental question what is tf idf or what is