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
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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