Aspects


vs


Nltk

The Natural Language Toolkit is a Python library for computational linguistics.

Scikit-learn

Scikit-learn is a machine-learning library for Python that provides simple and efficient tools for data analysis and data mining, with a focus on machine learning

Others

Example

What you re looking for is linear regression and scikit-learn is much better than nltk for this see

from question  

NLTK: Document Classification with numeric score instead of labels

The nltk library includes a confusion matrix that is simple to use and produces a nicer output than scikit-learn

from question  

Python tabulating confusion matrix

Or scikit-learn directly .for more details nltk 3.0 documentation

from question  

NLTK SVM Classifier Terminates

If you are worried about memory then do look into scikit-learn since equivalent models can use significantly less memory than nltk

from question  

NLTK on a production web application

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