It is often used as a first step to summarize the main ideas of a text and to deliver the key ideas presented in the text. In this article, I will go through the 6 fundamental techniques of natural language processing that you should know if you are serious about getting into the field. In this article, we have analyzed examples of using several Python libraries for processing textual data and transforming them into numeric vectors. In the next article, we will describe a specific example of using the LDA and Doc2Vec methods to solve the problem of autoclusterization of primary events in the hybrid IT monitoring platform Monq. At this stage, however, these three levels representations remain coarsely defined.