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Does anybody knows python library to retrieve sentiment from Russian text. The dictionary with sentiment parameterization will be ok to. The idea of library something like in GPOMS in article.

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  • $\begingroup$ Why should it be any different from, say, English? Python can transparently process UTF8. Do you foresee any specific problem with grammar or anything? $\endgroup$
    – Diego
    Feb 13, 2016 at 14:55
  • $\begingroup$ @Diego, as I understand, I need a dictionary of words of the Russian language with the weight of each word (something like this for English). Which library could you advise my? $\endgroup$
    – MrFroll
    Feb 13, 2016 at 19:51
  • $\begingroup$ May be you should replace the word library with the word dictionary in your question. Python library is usually referring to a bunch of functions and classes, not just a collection of words. $\endgroup$
    – Diego
    Feb 14, 2016 at 1:25
  • $\begingroup$ @Diego, thank you for recommendation, but I think my question correctly shows that I'm interested in dictionary or library. Both for me will be ok. $\endgroup$
    – MrFroll
    Feb 15, 2016 at 16:22
  • 1
    $\begingroup$ Possible duplicate of Sentiment Analysis model for Spanish $\endgroup$
    – VividD
    May 10, 2017 at 15:56

2 Answers 2

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If you are seeking a working solution, I know of an API that supports many languages, including Russian: indico.io Text Analysis sentiment()

>>> import indicoio
>>> indicoio.config.api_key = YOUR_API_KEY
>>> indicoio.sentiment(u"Это круто, убивает!  Хочу.", language='ru')
0.6978093435482927
>>> indicoio.sentiment(u"Ты кто такой?  Давай досвидания", language='ru')
0.13258737684773209

Note that the language parameter is optional

(Obviously it's not a lib, but they offer a Python client and their free tier is generous enough.)

Update: As of Q2 2018, Google and IBM sentiment analysis APIs still do not support Russian.

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Take a look at the polyglot library. It has polarity lexicons for 136 languages, including Russian.

The scale of the words’ polarity consisted of three degrees: +1 for positive words, and -1 for negatives words. Neutral words will have a score of 0.

You can use it like this:

>>> from polyglot.text import Text as T
>>> text = T("это очень плохо. А это намного лучше, даже хорошо!")
>>> text.polarity
0.33333333333333331

>>> for s in text.sentences:
...  s, s.polarity
... 
(Sentence("это очень плохо."), -1.0)
(Sentence("А это намного лучше, даже хорошо!"), 1.0)

>>> for w in text.words:
...   print("{:<16}{:>2}".format(w, w.polarity))
... 
это              0
очень            0
плохо           -1
.                0
А                0
это              0
намного          0
лучше            1
,                0
даже             0
хорошо           1
!                0
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