sklearn-deltatfidf
DeltaTfidfVectorizer for scikit-learn
MIT License
=================
sklearn-deltatfidf
|pypi| |downloads|
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
.. |pypi| image:: https://img.shields.io/pypi/v/sklearn-deltatfidf :alt: PyPI
.. |downloads| image:: https://img.shields.io/pypi/dm/sklearn-deltatfidf :alt: PyPI - Downloads