Hi, Thank you for your reply. I changed my delimeters from tab to space and most of the problem has been solved (1900 index term from 1914). However, still there are few words that are excluded. I didn't set any parameter as you can see in the code.
>>> tf = TfidfVectorizer(ngram_range=(1,ngram),use_idf=False) tf_matrix = >>> tf.fit_transform(corpus) feature_names = tf.get_feature_names() Should I play with the min_df and max_df? Best, Ehsan > On Nov 19, 2015, at 9:01 AM, Chris Holdgraf <choldg...@berkeley.edu> wrote: > > If you vocab is indeed being cut down, could it be because some words don't > pass through the word frequency cutoff filters? (min_df, max_df) > >> On Thu, Nov 19, 2015 at 8:55 AM, Andreas Mueller <t3k...@gmail.com> wrote: >> Hi Ehsan. >> Which version of scikit-learn are you using? >> And why do you think the vocabulary size is 1860? >> What is len(tf.vocabulary_)? >> >> Andy >> >>> On 11/18/2015 11:45 PM, Ehsan Asgari wrote: >>> Hi, >>> >>> I am using TfidfVectorizer of sklearn.feature_extraction.text for >>> generating tf-idf matrix of a corpus. However, when I look at the features >>> extracted from my corpus it seems that it has reduced my vocabulary size >>> from 1860 to 598! I tried to play with max_df, min_df, and max_features. >>> But nothing changed. >>> >>> tf = TfidfVectorizer(ngram_range=(1,ngram),use_idf=False) >>> tf_matrix = tf.fit_transform(corpus) >>> feature_names = tf.get_feature_names() >>> Does someone have an idea how to solve this problem? >>> >>> Thank you, >>> >>> Ehsan >>> >>> >>> >>> >>> ------------------------------------------------------------------------------ >>> >>> >>> _______________________________________________ >>> Scikit-learn-general mailing list >>> Scikit-learn-general@lists.sourceforge.net >>> https://lists.sourceforge.net/lists/listinfo/scikit-learn-general >> >> >> ------------------------------------------------------------------------------ >> >> _______________________________________________ >> Scikit-learn-general mailing list >> Scikit-learn-general@lists.sourceforge.net >> https://lists.sourceforge.net/lists/listinfo/scikit-learn-general > > > > -- > _____________________________________ > > PhD Candidate in Neuroscience | UC Berkeley > Editor and Web Director | Berkeley Science Review > _____________________________________ > ------------------------------------------------------------------------------ > _______________________________________________ > Scikit-learn-general mailing list > Scikit-learn-general@lists.sourceforge.net > https://lists.sourceforge.net/lists/listinfo/scikit-learn-general
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