{ "info": { "author": "Georgios Rizos", "author_email": "georgerizos@iti.gr", "bugtrack_url": null, "classifiers": [ "Development Status :: 2 - Pre-Alpha", "Intended Audience :: Science/Research", "License :: OSI Approved :: Apache Software License", "Natural Language :: English", "Operating System :: Unix", "Programming Language :: Python", "Programming Language :: Python :: 3", "Programming Language :: Python :: 3.3", "Programming Language :: Python :: 3.4", "Programming Language :: Python :: 3 :: Only", "Programming Language :: Python :: Implementation", "Programming Language :: Python :: Implementation :: CPython", "Topic :: Scientific/Engineering :: Information Analysis" ], "description": "# news-popularity-prediction\nA set of methods that predict the future values of popularity indices for news posts using a variety of features.\n\nInstall\n-------\n### Required packages\n- numpy\n- scipy\n- pandas\n- scikit-learn\n\n### Installation\nTo install for all users on Unix/Linux:\n\n python3.4 setup.py build\n sudo python3.4 setup.py install\n \nAlternatively:\n\n pip install news-popularity-prediction\n \nExperiments\n-----------\n\nJust run:\n\n python3.4 run_all_experiments.py\n \nfrom news_popularity_prediction.entry_points.snow_2016_workshop", "description_content_type": null, "docs_url": null, "download_url": "UNKNOWN", "downloads": { "last_day": -1, "last_month": -1, "last_week": -1 }, "home_page": "https://github.com/MKLab-ITI/news-popularity-prediction", "keywords": "news-popularity-prediction online-discussion-analysis Reveal-FP7", "license": "Apache", "maintainer": null, "maintainer_email": null, "name": "news-popularity-prediction", "package_url": "https://pypi.org/project/news-popularity-prediction/", "platform": "UNKNOWN", "project_url": "https://pypi.org/project/news-popularity-prediction/", "project_urls": { "Download": "UNKNOWN", "Homepage": "https://github.com/MKLab-ITI/news-popularity-prediction" }, "release_url": "https://pypi.org/project/news-popularity-prediction/0.1.1/", "requires_dist": null, "requires_python": null, "summary": "A set of methods that predict the future values of popularity indices for news posts using a variety of features.", "version": "0.1.1" }, "last_serial": 1924150, "releases": { "0.1.1": [ { "comment_text": "", "digests": { "md5": "c58e029e09abe83713ff12ab574481b9", "sha256": "7f09b61c6c17fd2db4d28738b482dd6531b22d5c58a8dce8a55b07eb164837af" }, "downloads": -1, "filename": "news-popularity-prediction-0.1.1.tar.gz", "has_sig": false, "md5_digest": "c58e029e09abe83713ff12ab574481b9", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 20450, "upload_time": "2016-01-26T17:08:03", "url": "https://files.pythonhosted.org/packages/41/17/9a1d2a352f309598efbbc0857eb4e0ba31c2f08ba3a8406a8cabc3a7bcce/news-popularity-prediction-0.1.1.tar.gz" } ] }, "urls": [ { "comment_text": "", "digests": { "md5": "c58e029e09abe83713ff12ab574481b9", "sha256": "7f09b61c6c17fd2db4d28738b482dd6531b22d5c58a8dce8a55b07eb164837af" }, "downloads": -1, "filename": "news-popularity-prediction-0.1.1.tar.gz", "has_sig": false, "md5_digest": "c58e029e09abe83713ff12ab574481b9", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 20450, "upload_time": "2016-01-26T17:08:03", "url": "https://files.pythonhosted.org/packages/41/17/9a1d2a352f309598efbbc0857eb4e0ba31c2f08ba3a8406a8cabc3a7bcce/news-popularity-prediction-0.1.1.tar.gz" } ] }