{ "info": { "author": "Kamran Kowsari", "author_email": "kk7nc@virginia.edu", "bugtrack_url": null, "classifiers": [ "Environment :: Console", "Intended Audience :: Science/Research", "License :: OSI Approved :: MIT License", "Operating System :: OS Independent", "Programming Language :: Python :: 3.5", "Programming Language :: Python :: 3.6", "Topic :: Scientific/Engineering :: Artificial Intelligence", "Topic :: Scientific/Engineering :: Information Analysis", "Topic :: Text Processing :: Linguistic" ], "description": "|DOI| |travis| |wercker status| |Join the chat at\nhttps://gitter.im/HDLTex| |arXiv| |RG| |Binder| |license|\n\nHDLTex: Hierarchical Deep Learning for Text Classification\n==========================================================\n\nRefrenced paper : `HDLTex: Hierarchical Deep Learning for Text\nClassification `__\n\n\n|Pic|\n\n\nInstallation\n------------\n\nUsing pip\n~~~~~~~~~\n.. code:: bash\n\n pip install HDLTex\n\nUsing git\n~~~~~~~~~\n.. code:: bash\n\n git clone --recursive https://github.com/kk7nc/HDLTex.git\n\n\nThe primary requirements for this package are Python 3 with Tensorflow.\nThe requirements.txt file contains a listing of the required Python\npackages; to install all requirements, run the following:\n\n.. code:: bash\n\n pip -r install requirements.txt\n\nOr\n\n.. code:: bash\n\n pip3 install -r requirements.txt\n\nOr:\n\n.. code:: bash\n\n conda install --file requirements.txt\n\n\nIf the above command does not work, use the following:\n\n.. code:: bash\n\n sudo -H pip install -r requirements.txt\n\n**Documentation:**\n\n**Datasets for HDLTex:**\n\nLinke of dataset: |Data|\n\nWeb of Science Dataset\n`WOS-11967 `__\n\n::\n\n This dataset contains 11,967 documents with 35 categories which include 7 parents categories.\n\n\nWeb of Science Dataset\n`WOS-46985 `__\n\n::\n\n This dataset contains 46,985 documents with 134 categories which include 7 parents categories.\n\n\nWeb of Science Dataset\n`WOS-5736 `__\n\n::\n\n This dataset contains 5,736 documents with 11 categories which include 3 parents categories.\n\nRequirements :\n~~~~~~~~~~~~~~~~~~~~~~~~~~~~\nGeneral:\n\nPython 3.5 or later see `Instruction\nDocuments `__\n\nTensorFlow see `Instruction\nDocuments `__.\n\nscikit-learn see `Instruction\nDocuments `__\n\nKeras see `Instruction Documents `__\n\nscipy see `Instruction Documents `__\n\nGPU:\n\nCUDA\u00c2\u00ae Toolkit 8.0. For details, see `NVIDIA\u00e2\u20ac\u2122s\ndocumentation `__.\n\nThe `NVIDIA drivers associated with CUDA Toolkit\n8.0 `__.\n\ncuDNN v6. For details, see `NVIDIA\u00e2\u20ac\u2122s\ndocumentation `__.\n\nGPU card with CUDA Compute Capability 3.0 or higher.\n\nThe libcupti-dev library,\n\nTo install this library, issue the following command:\n\n::\n\n $ sudo apt-get install libcupti-dev\n\n**Feature Extraction:**\n\nGlobal Vectors for Word Representation\n(`GLOVE `__)\n\n::\n\n For CNN and RNN you need to download and linked the folder location to GLOVE\n\n\n\nError and Comments:\n-------------------\n\nSend an email to kk7nc@virginia.edu\n\nCitation:\n---------\n\n.. code:: bash\n\n @inproceedings{Kowsari2018HDLTex, \n author={Kowsari, Kamran and Brown, Donald E and Heidarysafa, Mojtaba and Meimandi, Kiana Jafari and Gerber, Matthew S and Barnes, Laura E},\n booktitle={2017 16th IEEE International Conference on Machine Learning and Applications (ICMLA)}, \n title={HDLTex: Hierarchical Deep Learning for Text Classification}, \n year={2017}, \n pages={364-371}, \n doi={10.1109/ICMLA.2017.0-134}, \n month={Dec}\n }\n\n.. |DOI| image:: http://kowsari.net/HDLTex_DOI.svg?maxAge=2592000\n :target: https://doi.org/10.1109/ICMLA.2017.0-134\n.. |travis| image:: https://travis-ci.org/kk7nc/HDLTex.svg?branch=master\n :target: https://travis-ci.org/kk7nc/HDLTex\n.. |wercker status| image:: https://app.wercker.com/status/24a123448ba8764b257a1df242146b8e/s/master\n :target: https://app.wercker.com/project/byKey/24a123448ba8764b257a1df242146b8e\n.. |Join the chat at https://gitter.im/HDLTex| image:: https://badges.gitter.im/Join%20Chat.svg\n :target: https://gitter.im/HDLTex/Lobby?source=orgpage\n.. |arXiv| image:: https://img.shields.io/badge/arXiv-1709.08267-red.svg?style=flat\n :target: https://arxiv.org/abs/1709.08267\n.. |RG| image:: https://img.shields.io/badge/ResearchGate-HDLTex-blue.svg?style=flat\n :target: https://www.researchgate.net/publication/319968747_HDLTex_Hierarchical_Deep_Learning_for_Text_Classification\n.. |Binder| image:: https://mybinder.org/badge.svg\n :target: https://mybinder.org/v2/gh/kk7nc/HDLTex/master\n.. |license| image:: https://img.shields.io/github/license/mashape/apistatus.svg?maxAge=2592104\n :target: https://github.com/kk7nc/HDLTex/blob/master/LICENSE\n.. |Data| image:: https://img.shields.io/badge/DOI-10.17632/9rw3vkcfy4.6-blue.svg?style=flat\n :target: http://dx.doi.org/10.17632/9rw3vkcfy4.6\n.. |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\n :alt: HDLTex as both Hierarchy lavel are DNN\n\n\n", "description_content_type": "", "docs_url": null, "download_url": "", "downloads": { "last_day": -1, "last_month": -1, "last_week": -1 }, "home_page": "https://github.com/kk7nc/HDLTex", "keywords": "", "license": "", "maintainer": "", "maintainer_email": "", "name": "HDLTex", "package_url": "https://pypi.org/project/HDLTex/", "platform": "", "project_url": "https://pypi.org/project/HDLTex/", "project_urls": { "Homepage": "https://github.com/kk7nc/HDLTex" }, "release_url": "https://pypi.org/project/HDLTex/1.0.5/", "requires_dist": [ "scipy", "tensorflow-gpu", "keras (>=2.0.9)", "scikit-learn (>=0.19.0)", "nltk (>=3.2.4)", "matplotlib (>=2.1.2)", "numpy (>=1.12.1)", "pandas (>=0.22.0)" ], "requires_python": "", "summary": "HDLTex: Hierarchical Deep Learning for Text Classification", "version": "1.0.5" }, "last_serial": 3785265, "releases": { "1.0.4": [ { "comment_text": "", "digests": { "md5": "152651c3709f1e40f658aa6a8c1e7bf3", "sha256": "eaf510344158f7110aeaa38b977837f34859a3ba5dc9016efadedd5a794cabb4" }, "downloads": -1, "filename": "HDLTex-1.0.4-py3-none-any.whl", "has_sig": false, "md5_digest": "152651c3709f1e40f658aa6a8c1e7bf3", "packagetype": "bdist_wheel", "python_version": "py3", "requires_python": null, "size": 9887, "upload_time": "2018-04-19T01:25:32", "url": "https://files.pythonhosted.org/packages/2a/5f/53aef412ce39c88c2012e4fb818782710ed31fac276cfd6aafd0d16baba2/HDLTex-1.0.4-py3-none-any.whl" } ], "1.0.5": [ { "comment_text": "", "digests": { "md5": "8c3e07106e431d63d2d175057bee979d", "sha256": "c495bad0af12136982c2772010ec9bcf0cd405eef4af1de062146fbd5162c941" }, "downloads": -1, "filename": "HDLTex-1.0.5-py3-none-any.whl", "has_sig": false, "md5_digest": "8c3e07106e431d63d2d175057bee979d", "packagetype": "bdist_wheel", "python_version": "py3", "requires_python": null, "size": 9888, "upload_time": "2018-04-20T17:23:32", "url": "https://files.pythonhosted.org/packages/b2/39/1ea737a840fb5b40fc6b1f8fa7d491c38b36188b940e162ee0347a332cf1/HDLTex-1.0.5-py3-none-any.whl" } ] }, "urls": [ { "comment_text": "", "digests": { "md5": "8c3e07106e431d63d2d175057bee979d", "sha256": "c495bad0af12136982c2772010ec9bcf0cd405eef4af1de062146fbd5162c941" }, "downloads": -1, "filename": "HDLTex-1.0.5-py3-none-any.whl", "has_sig": false, "md5_digest": "8c3e07106e431d63d2d175057bee979d", "packagetype": "bdist_wheel", "python_version": "py3", "requires_python": null, "size": 9888, "upload_time": "2018-04-20T17:23:32", "url": "https://files.pythonhosted.org/packages/b2/39/1ea737a840fb5b40fc6b1f8fa7d491c38b36188b940e162ee0347a332cf1/HDLTex-1.0.5-py3-none-any.whl" } ] }