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        "author": "H. Wilder, N. Freundlich, Santu Karmaker",
        "author_email": "hwilder3@illinois.edu, norbert4@illinois.edu, karmake2@illinois.edu",
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        "description": "# GFLM: mine implicit features using a generative feature language model\n\n## Description\nThis package implements a Generative Feature Language Models for Mining Implicit Features.\n\n#### Given the following input:\n* a text dataset\n* a set of predefined features\n\n#### Compute the following:\n* mapping of explicit and implicit features on the data\n* using both gflm_word and gflm_section algorithms\n\n## Install\n```\npip install feature_mining\n```\n\n## Sample Usage\n    Usage:\n        from feature_mining import FeatureMining\n        fm = FeatureMining()\n        fm.load_ipod(full_set=False)\n        fm.fit()\n        fm.predict()\n\n    Results:\n        - prediction using 'section': fm.gflm.gflm_section\n        - prediction using 'word': fm.gflm.gflm_word\n\n    Display result:\n        fm.section_features()\n        print(fm.gflm_section_result.sort_values(by=['gflm_section'], ascending=False)[['feature', 'section_text']].head(20))\n\n## Package created based on the following paper\nS. Karmaker Santu, P. Sondhi and C. Zhai, \"Generative Feature Language Models for Mining Implicit Features from Customer Reviews\", Proceedings of the 25th ACM International on Conference on Information and Knowledge Management - CIKM '16, 2016.\n\n## Pydocs (Code Documentation)\nAccessible via this link: http://htmlpreview.github.io/?https://github.com/nfreundlich/CS410_CourseProject/blob/dev/docs/feature_mining.html\n\n(Apologies for the color scheme - it was the default)\n\n## Tutorial\nSee Jupyter notebook tutorial https://github.com/nfreundlich/CS410_CourseProject/blob/dev/tutorial.ipynb\n\n## Video presentation and tutorial\nLink to YouTube: https://www.youtube.com/watch?v=mjJHkyrkxHM\n\n## Package on PyPi\nhttps://pypi.org/project/feature-mining/\n\n## Slides\nhttps://github.com/nfreundlich/CS410_CourseProject/blob/dev/docs/CS_410_GFLM_Slides.pdf\n\n## Known Issues\nExplicit feature mentions not removed from GFLM word/sentence:\nhttps://github.com/nfreundlich/CS410_CourseProject/issues/28\n\n\n",
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