{
    "info": {
        "author": "Jim Macwan",
        "author_email": "jimmacwan94@gmail.com",
        "bugtrack_url": null,
        "classifiers": [
            "Development Status :: 5 - Production/Stable",
            "Environment :: Console",
            "Intended Audience :: Science/Research",
            "License :: OSI Approved :: GNU Lesser General Public License v2 or later (LGPLv2+)",
            "Operating System :: OS Independent",
            "Programming Language :: Python :: 2.7",
            "Programming Language :: Python :: 3.5",
            "Programming Language :: Python :: 3.6",
            "Programming Language :: Python :: 3.7",
            "Topic :: Scientific/Engineering :: Artificial Intelligence",
            "Topic :: Scientific/Engineering :: Information Analysis",
            "Topic :: Text Processing :: Linguistic"
        ],
        "description": "\n==============================================\nPOSPair Word Embeddings\n==============================================\n\nGensim is a Python library for *topic modelling*, *document indexing* and *similarity retrieval* with large corpora.\nTarget audience is the *natural language processing* (NLP) and *information retrieval* (IR) community.\n\nPOSPair Word Embedding is created by modifying Gensim library according to POSPair, generating more meaningful and efficient word embeddings.\n\n\n\n",
        "description_content_type": "",
        "docs_url": null,
        "download_url": "https://github.com/jmacwan/POSPair",
        "downloads": {
            "last_day": -1,
            "last_month": -1,
            "last_week": -1
        },
        "home_page": "https://github.com/jmacwan/POSPair",
        "keywords": "Singular Value Decomposition,SVD,Latent Semantic Indexing,LSA,LSI,Latent Dirichlet Allocation,LDA,Hierarchical Dirichlet Process,HDP,Random Projections,TFIDF,word2vec",
        "license": "LGPLv2.1",
        "maintainer": "",
        "maintainer_email": "",
        "name": "POSPairWordEmbeddings",
        "package_url": "https://pypi.org/project/POSPairWordEmbeddings/",
        "platform": "any",
        "project_url": "https://pypi.org/project/POSPairWordEmbeddings/",
        "project_urls": {
            "Download": "https://github.com/jmacwan/POSPair",
            "Homepage": "https://github.com/jmacwan/POSPair"
        },
        "release_url": "https://pypi.org/project/POSPairWordEmbeddings/0.0.4/",
        "requires_dist": [
            "numpy (>=1.11.3)",
            "scipy (>=0.18.1)",
            "six (>=1.5.0)",
            "smart-open (>=1.2.1)",
            "Pyro4 (>=4.27); extra == 'distributed'",
            "pytest; extra == 'docs'",
            "pytest-rerunfailures; extra == 'docs'",
            "mock; extra == 'docs'",
            "cython; extra == 'docs'",
            "pyemd; extra == 'docs'",
            "testfixtures; extra == 'docs'",
            "scikit-learn; extra == 'docs'",
            "Morfessor (==2.0.2a4); extra == 'docs'",
            "tensorflow (<=1.3.0); extra == 'docs'",
            "keras (<=2.1.4,>=2.0.4); extra == 'docs'",
            "annoy; extra == 'docs'",
            "Pyro4 (>=4.27); extra == 'docs'",
            "sphinx; extra == 'docs'",
            "sphinxcontrib-napoleon; extra == 'docs'",
            "plotly; extra == 'docs'",
            "pattern (<=2.6); extra == 'docs'",
            "sphinxcontrib.programoutput; extra == 'docs'",
            "pytest; extra == 'test'",
            "pytest-rerunfailures; extra == 'test'",
            "mock; extra == 'test'",
            "cython; extra == 'test'",
            "pyemd; extra == 'test'",
            "testfixtures; extra == 'test'",
            "scikit-learn; extra == 'test'",
            "Morfessor (==2.0.2a4); extra == 'test'",
            "tensorflow (<=1.3.0); extra == 'test'",
            "keras (<=2.1.4,>=2.0.4); extra == 'test'",
            "annoy; extra == 'test'",
            "pytest; extra == 'test-win'",
            "pytest-rerunfailures; extra == 'test-win'",
            "mock; extra == 'test-win'",
            "cython; extra == 'test-win'",
            "pyemd; extra == 'test-win'",
            "testfixtures; extra == 'test-win'",
            "scikit-learn; extra == 'test-win'",
            "Morfessor (==2.0.2a4); extra == 'test-win'"
        ],
        "requires_python": "",
        "summary": "POSPair Word Embeddings- Python framework for fast Vector Space Modelling",
        "version": "0.0.4"
    },
    "last_serial": 5201627,
    "releases": {
        "0.0.1": [
            {
                "comment_text": "",
                "digests": {
                    "md5": "a7df42ac606676367be5489868530c53",
                    "sha256": "252cd775e6b5ac386e9bac71e97415d5398a1216017c355795ce8d340962a857"
                },
                "downloads": -1,
                "filename": "POSPairWordEmbeddings-0.0.1-cp36-cp36m-win_amd64.whl",
                "has_sig": false,
                "md5_digest": "a7df42ac606676367be5489868530c53",
                "packagetype": "bdist_wheel",
                "python_version": "cp36",
                "requires_python": null,
                "size": 709904,
                "upload_time": "2019-01-06T07:04:24",
                "url": "https://files.pythonhosted.org/packages/b9/74/df826d987af60e57540332ce98caa73b332967db42281a537b4b92d07152/POSPairWordEmbeddings-0.0.1-cp36-cp36m-win_amd64.whl"
            },
            {
                "comment_text": "",
                "digests": {
                    "md5": "549b88d2e5856fa427560d4fcfbd0eb5",
                    "sha256": "34b2a31e95ea1c3cd7600f02c76d8b58cf19022284372e15ae49da8e5114ecee"
                },
                "downloads": -1,
                "filename": "POSPairWordEmbeddings-0.0.1.tar.gz",
                "has_sig": false,
                "md5_digest": "549b88d2e5856fa427560d4fcfbd0eb5",
                "packagetype": "sdist",
                "python_version": "source",
                "requires_python": null,
                "size": 583266,
                "upload_time": "2019-01-06T07:04:28",
                "url": "https://files.pythonhosted.org/packages/f6/9b/9c51b0428676dcace31e4bd5ce36dab2634047a1e106a68406d9d56bd0c5/POSPairWordEmbeddings-0.0.1.tar.gz"
            }
        ],
        "0.0.2": [
            {
                "comment_text": "",
                "digests": {
                    "md5": "49e99fbf8a776d9e460093f193732be0",
                    "sha256": "1913fa08a8f879e9b105b39b3afae4be611fa8e83d57b4cd973f767825a97be7"
                },
                "downloads": -1,
                "filename": "POSPairWordEmbeddings-0.0.2-cp36-cp36m-win_amd64.whl",
                "has_sig": false,
                "md5_digest": "49e99fbf8a776d9e460093f193732be0",
                "packagetype": "bdist_wheel",
                "python_version": "cp36",
                "requires_python": null,
                "size": 709902,
                "upload_time": "2019-01-06T11:30:20",
                "url": "https://files.pythonhosted.org/packages/35/0c/3035b45d7810c2124d8fc442f437ea2a710a472c64b851e89bb0adcfa93d/POSPairWordEmbeddings-0.0.2-cp36-cp36m-win_amd64.whl"
            },
            {
                "comment_text": "",
                "digests": {
                    "md5": "d9f52e92cd7fb8cb5b598d0dad34cb07",
                    "sha256": "fa51cab7778effe3524f36e2d44edddf7002a5e1387777521841d74a397820ca"
                },
                "downloads": -1,
                "filename": "POSPairWordEmbeddings-0.0.2.tar.gz",
                "has_sig": false,
                "md5_digest": "d9f52e92cd7fb8cb5b598d0dad34cb07",
                "packagetype": "sdist",
                "python_version": "source",
                "requires_python": null,
                "size": 583259,
                "upload_time": "2019-01-06T11:30:23",
                "url": "https://files.pythonhosted.org/packages/bc/8d/88472d6a39dec2d41e8e9d08240c4b08f4e5aba6090ebcb597e8e9ce83a0/POSPairWordEmbeddings-0.0.2.tar.gz"
            }
        ],
        "0.0.3": [
            {
                "comment_text": "",
                "digests": {
                    "md5": "0d7abe808876dc7db688a5fac348c48d",
                    "sha256": "17eb0a382aa802fdc7de1123cb2d2edd725b39fd186ba99f3eca2d7b0355b20e"
                },
                "downloads": -1,
                "filename": "POSPairWordEmbeddings-0.0.3-cp36-cp36m-win_amd64.whl",
                "has_sig": false,
                "md5_digest": "0d7abe808876dc7db688a5fac348c48d",
                "packagetype": "bdist_wheel",
                "python_version": "cp36",
                "requires_python": null,
                "size": 709879,
                "upload_time": "2019-01-07T12:09:31",
                "url": "https://files.pythonhosted.org/packages/ce/62/4c9fba28db4e40f9180ab76352a70a0c7453fd45384c6b3e792966b0e249/POSPairWordEmbeddings-0.0.3-cp36-cp36m-win_amd64.whl"
            },
            {
                "comment_text": "",
                "digests": {
                    "md5": "6ae4703b8bd976838cd3eee3c5304e7d",
                    "sha256": "c142956d7faf7814d11d5e173737b0304d0aad83634d30d29d365f9cd2262439"
                },
                "downloads": -1,
                "filename": "POSPairWordEmbeddings-0.0.3.tar.gz",
                "has_sig": false,
                "md5_digest": "6ae4703b8bd976838cd3eee3c5304e7d",
                "packagetype": "sdist",
                "python_version": "source",
                "requires_python": null,
                "size": 583261,
                "upload_time": "2019-01-07T12:09:40",
                "url": "https://files.pythonhosted.org/packages/28/dd/011cb7897b04993c2852c5c45dff526cef4ed8a261a9535cf6351aaa4e9c/POSPairWordEmbeddings-0.0.3.tar.gz"
            }
        ],
        "0.0.4": [
            {
                "comment_text": "",
                "digests": {
                    "md5": "24498a572055f269dc9ffb17f8da3f96",
                    "sha256": "af1dfd4b734b94dfbed71582c4f553b9beee20548988591e2334ff8dce72cc3f"
                },
                "downloads": -1,
                "filename": "POSPairWordEmbeddings-0.0.4-cp36-cp36m-win_amd64.whl",
                "has_sig": false,
                "md5_digest": "24498a572055f269dc9ffb17f8da3f96",
                "packagetype": "bdist_wheel",
                "python_version": "cp36",
                "requires_python": null,
                "size": 707647,
                "upload_time": "2019-04-29T05:07:13",
                "url": "https://files.pythonhosted.org/packages/eb/39/cd76800534a3faf02a0c5d96bd9a540b14b1f4fdb832e767264ecb51dcb1/POSPairWordEmbeddings-0.0.4-cp36-cp36m-win_amd64.whl"
            },
            {
                "comment_text": "",
                "digests": {
                    "md5": "c50f04b347afe466cef437c1158610c5",
                    "sha256": "c5be021ecc716a525a0adfe74ba54926015be74f897b0c65ebed93c4eb338769"
                },
                "downloads": -1,
                "filename": "POSPairWordEmbeddings-0.0.4.tar.gz",
                "has_sig": false,
                "md5_digest": "c50f04b347afe466cef437c1158610c5",
                "packagetype": "sdist",
                "python_version": "source",
                "requires_python": null,
                "size": 580189,
                "upload_time": "2019-04-29T05:07:19",
                "url": "https://files.pythonhosted.org/packages/f0/65/70bb7885a32d84baa9445d37eba93b6fce14f9a26b6f005f3f994b7c45ff/POSPairWordEmbeddings-0.0.4.tar.gz"
            }
        ]
    },
    "urls": [
        {
            "comment_text": "",
            "digests": {
                "md5": "24498a572055f269dc9ffb17f8da3f96",
                "sha256": "af1dfd4b734b94dfbed71582c4f553b9beee20548988591e2334ff8dce72cc3f"
            },
            "downloads": -1,
            "filename": "POSPairWordEmbeddings-0.0.4-cp36-cp36m-win_amd64.whl",
            "has_sig": false,
            "md5_digest": "24498a572055f269dc9ffb17f8da3f96",
            "packagetype": "bdist_wheel",
            "python_version": "cp36",
            "requires_python": null,
            "size": 707647,
            "upload_time": "2019-04-29T05:07:13",
            "url": "https://files.pythonhosted.org/packages/eb/39/cd76800534a3faf02a0c5d96bd9a540b14b1f4fdb832e767264ecb51dcb1/POSPairWordEmbeddings-0.0.4-cp36-cp36m-win_amd64.whl"
        },
        {
            "comment_text": "",
            "digests": {
                "md5": "c50f04b347afe466cef437c1158610c5",
                "sha256": "c5be021ecc716a525a0adfe74ba54926015be74f897b0c65ebed93c4eb338769"
            },
            "downloads": -1,
            "filename": "POSPairWordEmbeddings-0.0.4.tar.gz",
            "has_sig": false,
            "md5_digest": "c50f04b347afe466cef437c1158610c5",
            "packagetype": "sdist",
            "python_version": "source",
            "requires_python": null,
            "size": 580189,
            "upload_time": "2019-04-29T05:07:19",
            "url": "https://files.pythonhosted.org/packages/f0/65/70bb7885a32d84baa9445d37eba93b6fce14f9a26b6f005f3f994b7c45ff/POSPairWordEmbeddings-0.0.4.tar.gz"
        }
    ]
}