Vader sentiment analysis [closed] - python

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I'm using Vader in Python to perform sentiment analysis. Is there a way to analyze different languages than English (I need French in this case)
If yes, how do I do it, or what do I need?

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How to synthesize audio files in python in a GAN(Generative Adversarial Network)? [closed]

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Are there specific python libraries which we can use to generate audio files?
What is the noise that we provide in this case
Which external libraries are useful
Basic Research
Got to know that we have to use vectors to generate audio signals rather than tensors in case of images

JProfiler equivalent for Python [closed]

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Please suggest JProfiler equivalent for Python 3+.
The key need is the visualization of methods invocation stack with cumulative time duration (aim is performance optimization)
There is an ideal example of a visualization that I'm looking for:

GradientBoostingClassifier analog in R [closed]

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Is there an analog for Python sklearn.ensemble.GradientBoostingClassifier in R language?
I know there are R packages for gradient boosting: gbm, mboost, TDboost, gbev, bst, etc.
But which one package, which function and with what parameters I should use to get same results, as with GradientBoostingClassifier in Python using default parameters?

How to generate suffix trees using a python library? [closed]

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I need python library that can construct suffix trees and especially generalised suffix trees. Could you suggest me some libraries. Thanks.
See the following libraries.
suffixtree
Python-Suffix-Tree
SuffixTree
SuffixTree (same name different project, supports generalized suffix trees)
pysuffix (This is suffix arrays)

Python: convert alphabetically spelled out numbers to numerics? [closed]

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I'm looking for a library, service, or code suggestions to turn spelled out numbers and amounts (eg. "thirty five dollars and fifteen cents", "one point five") into numerics ($35.15, 1.5) . Suggestions?
I wrote some code to do this for integers a while ago: http://github.com/ghewgill/text2num
Feel free to fork and hack.

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