Question

Please tell me how to solve this problem better.

I have the text of the Russian and I want to find the 10 most common words with morphology. Maybe there is any open source libraries to solve this issue in python?

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Solution

You can use one of Python morphology analyzers for Russian to normalize the word:

There is also a Porter stemmer for Russian in https://github.com/nltk/nltk. Also, you could employ http://company.yandex.ru/technologies/mystem/ from a command line.

I'd recommend pymorphy2 for your task, but I'm a bit biased :)

OTHER TIPS

PyStemmer and NLTK are the two obvious libraries here.

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