What are the ways to do simple text parsing in python?

Question

Python

Good afternoon.

The task is for the program to receive various types of text as input, bring it into a form convenient for analysis, determine the degree of how well the text fits and return it if the text contains a sufficient number of them (or the number of their derivatives) by the presence of keywords. ).

I wanted to figure it out on my own, since the task seems simple, however, the search gives out very complex tools, mainly related to working with databases, for example, using neural networks, which are worth learning a little more. What libraries, algorithms are more expedient to apply in this case? What is worth understanding?

Thank you very much in advance.

Answer 1

pymorphy2 comes to mind

Answer 2

NLTK supports Snowball stemmers, including Russian.

Answer 3

TextBlob is good.