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python Programming Glossary: sklearn.feature_extraction.textImplementing Bag-of-Words Naive-Bayes classifier in NLTK http://stackoverflow.com/questions/10098533/implementing-bag-of-words-naive-bayes-classifier-in-nltk FreqDist from nltk.classify import SklearnClassifier from sklearn.feature_extraction.text import TfidfTransformer from sklearn.feature_selection import..
use scikit-learn to classify into multiple categories http://stackoverflow.com/questions/10526579/use-scikit-learn-to-classify-into-multiple-categories numpy as np from sklearn.pipeline import Pipeline from sklearn.feature_extraction.text import CountVectorizer from sklearn.svm import LinearSVC from.. CountVectorizer from sklearn.svm import LinearSVC from sklearn.feature_extraction.text import TfidfTransformer from sklearn.multiclass import OneVsRestClassifier..
Python: tf-idf-cosine: to find document similarity http://stackoverflow.com/questions/12118720/python-tf-idf-cosine-to-find-document-similarity in the above link just to make answers life easy. from sklearn.feature_extraction.text import CountVectorizer from sklearn.feature_extraction.text.. import CountVectorizer from sklearn.feature_extraction.text import TfidfTransformer from nltk.corpus import stopwords import.. you can do it in one operation with TfidfVectorizer from sklearn.feature_extraction.text import TfidfVectorizer from sklearn.datasets import fetch_20newsgroups..
Python Multiprocessing storing data until further call in each process http://stackoverflow.com/questions/14437944/python-multiprocessing-storing-data-until-further-call-in-each-process 4 short code sample that runs on 20 newsgroups data import sklearn.feature_extraction.text as ftext import sklearn.linear_model as lm import multiprocessing.. code spruced up with a bit of memory usage logging import sklearn.feature_extraction.text as ftext import sklearn.linear_model as lm import multiprocessing..
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