This tag is for questions on the process of turning a collection of text documents into numerical feature vectors using the class CountVectorizer from Python's scikit-learn library.
I have installed python 2.7, numpy 1.9.0, scipy 0.15.1 and scikit-learn 0.15.2. Now when I do the following in python: train_set = ("The sky …
python numpy scikit-learn scipy countvectorizerI added lemmatization to my countvectorizer, as explained on this Sklearn page. from nltk import word_tokenize from nltk.stem …
python scikit-learn lemmatization countvectorizerI have fitted a CountVectorizer to some documents in scikit-learn. I would like to see all the terms and their …
python machine-learning scikit-learn text-extraction countvectorizeri am using CountVectorizer in scikit-learn for Vectorizing the feature sequence. i got stuck when it is giving an error …
python pandas scikit-learn countvectorizerI have a set of words for which I have to check whether they are present in the documents. WordList = […
python-3.x scikit-learn countvectorizerI'm trying to vectorize some text with sklearn CountVectorizer. After, I want to look at features, which generate vectorizer. But …
pandas machine-learning scikit-learn nlp countvectorizerNeed help with the error NameError: name 'countVectorizer' is not defined in PyCharm I am trying to execute the FEATURE …
python countvectorizer