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DeltaTfidfVectorizer for scikit-learn

Project description

=================
sklearn-deltatfidf
=================

DeltaTfidfVectorizer for scikit-learn.

The Delta TFIDF is suggested in a article_ by Justin Martineau and Tim Finin, and usually associated with sentiment classification or polarity detection of text.

Usage
-----

.. code:: python

from sklearn_deltatfidf import DeltaTfidfVectorizer

v = DeltaTfidfVectorizer()
data = ['word1 word2', 'word2', 'word2 word3', 'word4']
labels = [1, -1, -1, 1]
v.fit_transform(data, labels)

# you can use it in pipelines as usual
pipe = Pipeline([
('vectorizer', DeltaTfidfVectorizer()),
('clf', svm.LinearSVC())
])
pipe.fit(data, labels)

Installation
------------

With ``pip``:

.. code-block:: console

$ pip install sklearn-deltatfidf

From source:

.. code-block:: console

$ git clone https://github.com/r-m-n/sklearn-deltatfidf.git
$ cd sklearn-deltatfidf
$ python setup.py install

.. _article: http://ebiquity.umbc.edu/_file_directory_/papers/446.pdf

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