質問

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?

役に立ちましたか?

解決

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 :)

他のヒント

PyStemmer and NLTK are the two obvious libraries here.

ライセンス: CC-BY-SA帰属
所属していません StackOverflow
scroll top