{
    "info": {
        "author": "Pawe\u0142 Mandera",
        "author_email": "pawel@pawelmandera.com",
        "bugtrack_url": null,
        "classifiers": [
            "License :: OSI Approved :: Apache Software License",
            "Programming Language :: Python :: 3"
        ],
        "description": "# Semantic spaces module\n\nThis is a python module that allows to compute semantic metrics based on\ndistributional semantics models.\n\nFor example, to find words that are semantically similar to the word 'brain':\n\n```python\nfrom semspaces.space import SemanticSpace\n\nspace = SemanticSpace.from_csv('space.w2v.gz')\n\nspace.most_similar(['brain'])\n\n{'brain': [(u'brain', 0.0),\n  (u'brains', 0.34469844325620635),\n  (u'cerebrum', 0.4426992023455152),\n  (u'cerebellum', 0.4483798859566903),\n  (u'cortical', 0.469348588934828),\n  (u'brainstem', 0.4791188497952641),\n  (u'cortex', 0.479544888313173),\n  (u'ganglion', 0.49717579235842546),\n  (u'thalamus', 0.5030885466349713),\n  (u'thalamic', 0.5059524199702277)]}\n```\n\nThe module wraps dense and sparse matrix implementations to provide convenience\nmethods for computing semantic statistics as well as easy input and output of\nthe data.\n\n# Installation\n\n```bash\npip install -r requirements.txt\npython setup.py install\n```\n\n# Semantic spaces\n\nYou can download a set of validated semantic spaces for English and Dutch\n[here](http://zipf.ugent.be/snaut/spaces/) (see Mandera, Keuleers, & Brysbaert,\nin press). \n\n# Contribute \n\n- Issue Tracker: https://github.com/pmandera/semspaces/issues\n- Source Code: https://github.com/pmandera/semspaces\n\n# Authors\n\nThe tool was developed at Center for Reading Research, Ghent University by\n[Pawe\u0142 Mandera](http://crr.ugent.be/pawel-mandera).\n\n# License\n\nThe project is licensed under the Apache License 2.0.\n\n# References\n\nMandera, P., Keuleers, E., & Brysbaert, M. (in press). Explaining human\nperformance in psycholinguistic tasks with models of semantic similarity based\non prediction and counting: A review and empirical validation. *Journal of\nMemory and Language*.\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/pmandera/semspaces/",
        "keywords": "semantic space word vectors",
        "license": "",
        "maintainer": "",
        "maintainer_email": "",
        "name": "semspaces",
        "package_url": "https://pypi.org/project/semspaces/",
        "platform": "",
        "project_url": "https://pypi.org/project/semspaces/",
        "project_urls": {
            "Homepage": "https://github.com/pmandera/semspaces/"
        },
        "release_url": "https://pypi.org/project/semspaces/0.1.3/",
        "requires_dist": [
            "fs (>=0.5.0)",
            "numpy (>=1.9.1)",
            "scipy (>=0.14.0)",
            "pandas (>=0.15.1)",
            "scikit-learn (>=0.15.0)"
        ],
        "requires_python": "",
        "summary": "Package for working with semantic spaces.",
        "version": "0.1.3"
    },
    "last_serial": 4427938,
    "releases": {
        "0.1.3": [
            {
                "comment_text": "",
                "digests": {
                    "md5": "f83364417f9097564c0ba6627b019bcc",
                    "sha256": "c0324d7acdffbcbb3a343ccf7c7ea225c3d4124d1dfd5db16943778a361553a2"
                },
                "downloads": -1,
                "filename": "semspaces-0.1.3-py3-none-any.whl",
                "has_sig": false,
                "md5_digest": "f83364417f9097564c0ba6627b019bcc",
                "packagetype": "bdist_wheel",
                "python_version": "py3",
                "requires_python": null,
                "size": 13891,
                "upload_time": "2018-10-29T15:09:42",
                "url": "https://files.pythonhosted.org/packages/43/8f/c85931fd2d0dacb7040dbbf2b8e6d09187d6d19df3bdd65b87d1c66fb61c/semspaces-0.1.3-py3-none-any.whl"
            },
            {
                "comment_text": "",
                "digests": {
                    "md5": "07410a8b2e8f7b68621885ee8b9bb391",
                    "sha256": "4730d13fa10a28646d3258d1a5479dcd88282b4abfcc119f13edd5c4afcb555c"
                },
                "downloads": -1,
                "filename": "semspaces-0.1.3.tar.gz",
                "has_sig": false,
                "md5_digest": "07410a8b2e8f7b68621885ee8b9bb391",
                "packagetype": "sdist",
                "python_version": "source",
                "requires_python": null,
                "size": 11491,
                "upload_time": "2018-10-29T15:09:43",
                "url": "https://files.pythonhosted.org/packages/dc/94/335509ea9c64feedfe339c95385bc15b04371adac09deec2341ecf9dbd37/semspaces-0.1.3.tar.gz"
            }
        ]
    },
    "urls": [
        {
            "comment_text": "",
            "digests": {
                "md5": "f83364417f9097564c0ba6627b019bcc",
                "sha256": "c0324d7acdffbcbb3a343ccf7c7ea225c3d4124d1dfd5db16943778a361553a2"
            },
            "downloads": -1,
            "filename": "semspaces-0.1.3-py3-none-any.whl",
            "has_sig": false,
            "md5_digest": "f83364417f9097564c0ba6627b019bcc",
            "packagetype": "bdist_wheel",
            "python_version": "py3",
            "requires_python": null,
            "size": 13891,
            "upload_time": "2018-10-29T15:09:42",
            "url": "https://files.pythonhosted.org/packages/43/8f/c85931fd2d0dacb7040dbbf2b8e6d09187d6d19df3bdd65b87d1c66fb61c/semspaces-0.1.3-py3-none-any.whl"
        },
        {
            "comment_text": "",
            "digests": {
                "md5": "07410a8b2e8f7b68621885ee8b9bb391",
                "sha256": "4730d13fa10a28646d3258d1a5479dcd88282b4abfcc119f13edd5c4afcb555c"
            },
            "downloads": -1,
            "filename": "semspaces-0.1.3.tar.gz",
            "has_sig": false,
            "md5_digest": "07410a8b2e8f7b68621885ee8b9bb391",
            "packagetype": "sdist",
            "python_version": "source",
            "requires_python": null,
            "size": 11491,
            "upload_time": "2018-10-29T15:09:43",
            "url": "https://files.pythonhosted.org/packages/dc/94/335509ea9c64feedfe339c95385bc15b04371adac09deec2341ecf9dbd37/semspaces-0.1.3.tar.gz"
        }
    ]
}