Metadata-Version: 2.1
Name: HDLTex
Version: 1.0.5
Summary: HDLTex: Hierarchical Deep Learning for Text Classification
Home-page: https://github.com/kk7nc/HDLTex
Author: Kamran Kowsari
Author-email: kk7nc@virginia.edu
License: UNKNOWN
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.5
Classifier: Environment :: Console
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Classifier: Topic :: Scientific/Engineering :: Information Analysis
Classifier: Topic :: Text Processing :: Linguistic
Requires-Dist: matplotlib (>=2.1.2)
Requires-Dist: numpy (>=1.12.1)
Requires-Dist: pandas (>=0.22.0)
Requires-Dist: scipy
Requires-Dist: tensorflow-gpu
Requires-Dist: keras (>=2.0.9)
Requires-Dist: scikit-learn (>=0.19.0)
Requires-Dist: nltk (>=3.2.4)

|DOI| |travis| |wercker status| |Join the chat at
https://gitter.im/HDLTex| |arXiv| |RG| |Binder| |license|

HDLTex: Hierarchical Deep Learning for Text Classification
==========================================================

Refrenced paper : `HDLTex: Hierarchical Deep Learning for Text
Classification <https://arxiv.org/abs/1709.08267>`__


|Pic|


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

Using pip
~~~~~~~~~
.. code:: bash

    pip install HDLTex

Using git
~~~~~~~~~
.. code:: bash

    git clone --recursive https://github.com/kk7nc/HDLTex.git


The primary requirements for this package are Python 3 with Tensorflow.
The requirements.txt file contains a listing of the required Python
packages; to install all requirements, run the following:

.. code:: bash

    pip -r install requirements.txt

Or

.. code:: bash

    pip3  install -r requirements.txt

Or:

.. code:: bash

    conda install --file requirements.txt


If the above command does not work, use the following:

.. code:: bash

    sudo -H pip  install -r requirements.txt

**Documentation:**

**Datasets for HDLTex:**

Linke of dataset: |Data|

Web of Science Dataset
`WOS-11967 <http://dx.doi.org/10.17632/9rw3vkcfy4.2>`__

::

        This dataset contains 11,967 documents with 35 categories which include 7 parents categories.


Web of Science Dataset
`WOS-46985 <http://dx.doi.org/10.17632/9rw3vkcfy4.2>`__

::

        This dataset contains 46,985 documents with 134 categories which include 7 parents categories.


Web of Science Dataset
`WOS-5736 <http://dx.doi.org/10.17632/9rw3vkcfy4.2>`__

::

        This dataset contains 5,736 documents with 11 categories which include 3 parents categories.

Requirements :
~~~~~~~~~~~~~~~~~~~~~~~~~~~~
General:

Python 3.5 or later see `Instruction
Documents <https://www.python.org/>`__

TensorFlow see `Instruction
Documents <https://www.tensorflow.org/install/install_linux>`__.

scikit-learn see `Instruction
Documents <http://scikit-learn.org/stable/install.html>`__

Keras see `Instruction Documents <https://keras.io/>`__

scipy see `Instruction Documents <https://www.scipy.org/install.html>`__

GPU:

CUDA® Toolkit 8.0. For details, see `NVIDIA’s
documentation <https://developer.nvidia.com/cuda-toolkit>`__.

The `NVIDIA drivers associated with CUDA Toolkit
8.0 <http://www.nvidia.com/Download/index.aspx>`__.

cuDNN v6. For details, see `NVIDIA’s
documentation <https://developer.nvidia.com/cudnn>`__.

GPU card with CUDA Compute Capability 3.0 or higher.

The libcupti-dev library,

To install this library, issue the following command:

::

        $ sudo apt-get install libcupti-dev

**Feature Extraction:**

Global Vectors for Word Representation
(`GLOVE <https://nlp.stanford.edu/projects/glove/>`__)

::

        For CNN and RNN you need to download and linked the folder location to GLOVE



Error and Comments:
-------------------

Send an email to kk7nc@virginia.edu

Citation:
---------

.. code:: bash

    @inproceedings{Kowsari2018HDLTex, 
    author={Kowsari, Kamran and Brown, Donald E and Heidarysafa, Mojtaba and Meimandi, Kiana Jafari and Gerber, Matthew S and Barnes, Laura E},
    booktitle={2017 16th IEEE International Conference on Machine Learning and Applications (ICMLA)}, 
    title={HDLTex: Hierarchical Deep Learning for Text Classification}, 
    year={2017},  
    pages={364-371}, 
    doi={10.1109/ICMLA.2017.0-134},  
    month={Dec}
    }

.. |DOI| image:: http://kowsari.net/HDLTex_DOI.svg?maxAge=2592000
   :target: https://doi.org/10.1109/ICMLA.2017.0-134
.. |travis| image:: https://travis-ci.org/kk7nc/HDLTex.svg?branch=master
   :target: https://travis-ci.org/kk7nc/HDLTex
.. |wercker status| image:: https://app.wercker.com/status/24a123448ba8764b257a1df242146b8e/s/master
   :target: https://app.wercker.com/project/byKey/24a123448ba8764b257a1df242146b8e
.. |Join the chat at https://gitter.im/HDLTex| image:: https://badges.gitter.im/Join%20Chat.svg
   :target: https://gitter.im/HDLTex/Lobby?source=orgpage
.. |arXiv| image:: https://img.shields.io/badge/arXiv-1709.08267-red.svg?style=flat
   :target: https://arxiv.org/abs/1709.08267
.. |RG| image:: https://img.shields.io/badge/ResearchGate-HDLTex-blue.svg?style=flat
   :target: https://www.researchgate.net/publication/319968747_HDLTex_Hierarchical_Deep_Learning_for_Text_Classification
.. |Binder| image:: https://mybinder.org/badge.svg
   :target: https://mybinder.org/v2/gh/kk7nc/HDLTex/master
.. |license| image:: https://img.shields.io/github/license/mashape/apistatus.svg?maxAge=2592104
   :target: https://github.com/kk7nc/HDLTex/blob/master/LICENSE
.. |Data| image:: https://img.shields.io/badge/DOI-10.17632/9rw3vkcfy4.6-blue.svg?style=flat
   :target: http://dx.doi.org/10.17632/9rw3vkcfy4.6
.. |Pic| image:: http://kowsari.net/____impro/1/onewebmedia/HDLTex.png?etag=W%2F%22c90cd-59c4019b%22&sourceContentType=image%2Fpng&ignoreAspectRatio&resize=821%2B326&extract=0%2B0%2B821%2B325?raw=false
   :alt: HDLTex as both Hierarchy lavel are DNN