https://github.com/r-m-n/sklearn-deltatfidf

DeltaTfidfVectorizer for scikit-learn
https://github.com/r-m-n/sklearn-deltatfidf

delta-tf-idf python scikit-learn sentiment-analysis sklearn tf-idf

Last synced: 3 months ago
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DeltaTfidfVectorizer for scikit-learn

• Host: GitHub
• URL: https://github.com/r-m-n/sklearn-deltatfidf
• Owner: r-m-n
• License: mit
• Created: 2017-02-12T09:39:55.000Z (almost 8 years ago)
• Default Branch: master
• Last Pushed: 2020-12-19T07:34:10.000Z (about 4 years ago)
• Last Synced: 2024-10-01T15:44:43.758Z (4 months ago)
• Topics: delta-tf-idf, python, scikit-learn, sentiment-analysis, sklearn, tf-idf
• Language: Python
• Size: 11.7 KB
• Stars: 10
• Watchers: 3
• Forks: 2
• Open Issues: 0
• Metadata Files:
  • Readme: README.rst
  • License: LICENSE.txt

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README

        
=================

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