{
    "info": {
        "author": "Devpratim Das , Rana Mondal , Souvik Das , Soumyajeet Bose",
        "author_email": "",
        "bugtrack_url": null,
        "classifiers": [
            "License :: OSI Approved :: MIT License",
            "Programming Language :: Python :: 3"
        ],
        "description": "[social-network-analysis](https://github.com/itsDevhere/social-network-analysis)\n\nUpdate v1.1 done at **16-05-2019 @ 01:30 pm**\n\n# Social Network Analysis Loksabha '19 Election Prediction\nSocial Networking Analysis  is a technique to analyse a given dataset to extract useful information and understanding the trend.\nWe are currently working on analyzing tweets based party name  input,analyse and plot graph for better statistical understanding and prediction purposes.\nGroup project of RCCIIT (Session 2015-19),Department of CSE under mentorship of Mrs.Monika Singh.\n\nThis repository will hold and be updated all the undergoing changes so far the project has experienced till now and till then.\n\n## Steps to Install\nInstall :   `pip install sna_prediction`\n\nRun     :   `sna_prediction`\n\n## What's done as of now\n\n - Added new Positive-Negative tweet per party graph\n -  Now, pie chart and wordcloud is displayed in same fig\n - Pie chart and wordcloud has both dpi of 200\n\n## Known Issues:\n\n - K-Map slider selected less than 3 takes longer time to render the graph due to large dataset\n - Data being huge take some time to load.Please stay patient.\n\n## Active Contribution\n\n[Devpratim](https://github.com/itsDevhere \"https://github.com/itsDevhere\")\n\n[Rana](https://github.com/RanaMondal03 \"https://github.com/RanaMondal03\")\n\n[Souvik](https://github.com/Souvik08 \"https://github.com/Souvik08\")\n\nSoumjit\n\n\n## Snapshots:\n[Program Output](https://imgur.com/a/fNTlOoS) \n\n[+ve and -ve tweets per party](https://imgur.com/a/HUji90k)\n\n",
        "description_content_type": "text/markdown",
        "docs_url": null,
        "download_url": "",
        "downloads": {
            "last_day": -1,
            "last_month": -1,
            "last_week": -1
        },
        "home_page": "https://github.com/itsDevhere/social-network-analysis",
        "keywords": "",
        "license": "MIT",
        "maintainer": "",
        "maintainer_email": "",
        "name": "sna-prediction",
        "package_url": "https://pypi.org/project/sna-prediction/",
        "platform": "",
        "project_url": "https://pypi.org/project/sna-prediction/",
        "project_urls": {
            "Homepage": "https://github.com/itsDevhere/social-network-analysis"
        },
        "release_url": "https://pypi.org/project/sna-prediction/1.1/",
        "requires_dist": [
            "tweepy",
            "textblob",
            "wordcloud",
            "PyQt5",
            "pandas",
            "numpy",
            "networkx (==2.3)",
            "matplotlib",
            "emoji"
        ],
        "requires_python": "",
        "summary": "A python package to predict outcome of an event based on type of data it is fed to.For now it is Loksabha 2019 Elections",
        "version": "1.1"
    },
    "last_serial": 5276155,
    "releases": {
        "0.1": [
            {
                "comment_text": "",
                "digests": {
                    "md5": "4ce36c99e0b1964b89d7f5e04559adbf",
                    "sha256": "024279f84a546794dc15758f33a869507a91be57dc0c6701652b4cd8f3f5229f"
                },
                "downloads": -1,
                "filename": "sna_prediction-0.1-py3-none-any.whl",
                "has_sig": false,
                "md5_digest": "4ce36c99e0b1964b89d7f5e04559adbf",
                "packagetype": "bdist_wheel",
                "python_version": "py3",
                "requires_python": null,
                "size": 8274,
                "upload_time": "2019-05-14T08:35:59",
                "url": "https://files.pythonhosted.org/packages/14/1d/0319b86219aeb7d5f2f39e26a9d04b9e42b033db97031c94dbb408d7a75c/sna_prediction-0.1-py3-none-any.whl"
            },
            {
                "comment_text": "",
                "digests": {
                    "md5": "7c6f1f905bfbe42bd3a2911eb1d6309c",
                    "sha256": "0d2e2232045853d75b523e6db13df6364834ca4458c96d1e8c23d3dfe919b7f0"
                },
                "downloads": -1,
                "filename": "sna_prediction-0.1.tar.gz",
                "has_sig": false,
                "md5_digest": "7c6f1f905bfbe42bd3a2911eb1d6309c",
                "packagetype": "sdist",
                "python_version": "source",
                "requires_python": null,
                "size": 7563517,
                "upload_time": "2019-05-14T08:38:54",
                "url": "https://files.pythonhosted.org/packages/ee/f6/e385e96ed8737df3b700fe03954f8d5e21670e460e2244d3d37021f6cc8d/sna_prediction-0.1.tar.gz"
            }
        ],
        "1.0": [
            {
                "comment_text": "",
                "digests": {
                    "md5": "17b9ba3a643dedbb33d538f17c3761a1",
                    "sha256": "9b9d4389b0d6586beb519b6a9a627f0420f36afc2062b5179638620760fb3e80"
                },
                "downloads": -1,
                "filename": "sna_prediction-1.0-py3-none-any.whl",
                "has_sig": false,
                "md5_digest": "17b9ba3a643dedbb33d538f17c3761a1",
                "packagetype": "bdist_wheel",
                "python_version": "py3",
                "requires_python": null,
                "size": 8259,
                "upload_time": "2019-05-14T08:49:27",
                "url": "https://files.pythonhosted.org/packages/41/17/1863f10d5f7a39d08aef78af68b0c9598206ccca07a91093eb40610448b1/sna_prediction-1.0-py3-none-any.whl"
            },
            {
                "comment_text": "",
                "digests": {
                    "md5": "7b93dc33f3373cb10a307115805649c1",
                    "sha256": "83f926061ac676f9f4f49c690c5d0d451ae55964a8b03880ad5c8c0d8484c89e"
                },
                "downloads": -1,
                "filename": "sna_prediction-1.0.tar.gz",
                "has_sig": false,
                "md5_digest": "7b93dc33f3373cb10a307115805649c1",
                "packagetype": "sdist",
                "python_version": "source",
                "requires_python": null,
                "size": 6803,
                "upload_time": "2019-05-14T08:49:28",
                "url": "https://files.pythonhosted.org/packages/a3/eb/ad51c616075941cf62e75cf934c0ab537974e2dc39fb3babf868126615a8/sna_prediction-1.0.tar.gz"
            }
        ],
        "1.1": [
            {
                "comment_text": "",
                "digests": {
                    "md5": "eff1b61ccf6c23a2e8201cf53db198d0",
                    "sha256": "016753d758b822c5f4440809bc32795b11e441a2ed94f0dee7ffac9d45301ceb"
                },
                "downloads": -1,
                "filename": "sna_prediction-1.1-py3-none-any.whl",
                "has_sig": false,
                "md5_digest": "eff1b61ccf6c23a2e8201cf53db198d0",
                "packagetype": "bdist_wheel",
                "python_version": "py3",
                "requires_python": null,
                "size": 8425,
                "upload_time": "2019-05-16T07:56:20",
                "url": "https://files.pythonhosted.org/packages/18/a1/fdaba427d2662a0d5ccd482a2a4fc4dd87ef0e367250f180ace2c963f7a3/sna_prediction-1.1-py3-none-any.whl"
            },
            {
                "comment_text": "",
                "digests": {
                    "md5": "54d569b63b29c7b9f0f366ab525c4cbe",
                    "sha256": "15da3278ddf14cd61228502af88e94fb4ae1457d50f7ebc5ef4a187acc7fa52c"
                },
                "downloads": -1,
                "filename": "sna_prediction-1.1.tar.gz",
                "has_sig": false,
                "md5_digest": "54d569b63b29c7b9f0f366ab525c4cbe",
                "packagetype": "sdist",
                "python_version": "source",
                "requires_python": null,
                "size": 6974,
                "upload_time": "2019-05-16T07:56:21",
                "url": "https://files.pythonhosted.org/packages/03/03/318d4de0a4b3d535ebd67f774927aede5e6aa6884e61ef94985e3f89e516/sna_prediction-1.1.tar.gz"
            }
        ]
    },
    "urls": [
        {
            "comment_text": "",
            "digests": {
                "md5": "eff1b61ccf6c23a2e8201cf53db198d0",
                "sha256": "016753d758b822c5f4440809bc32795b11e441a2ed94f0dee7ffac9d45301ceb"
            },
            "downloads": -1,
            "filename": "sna_prediction-1.1-py3-none-any.whl",
            "has_sig": false,
            "md5_digest": "eff1b61ccf6c23a2e8201cf53db198d0",
            "packagetype": "bdist_wheel",
            "python_version": "py3",
            "requires_python": null,
            "size": 8425,
            "upload_time": "2019-05-16T07:56:20",
            "url": "https://files.pythonhosted.org/packages/18/a1/fdaba427d2662a0d5ccd482a2a4fc4dd87ef0e367250f180ace2c963f7a3/sna_prediction-1.1-py3-none-any.whl"
        },
        {
            "comment_text": "",
            "digests": {
                "md5": "54d569b63b29c7b9f0f366ab525c4cbe",
                "sha256": "15da3278ddf14cd61228502af88e94fb4ae1457d50f7ebc5ef4a187acc7fa52c"
            },
            "downloads": -1,
            "filename": "sna_prediction-1.1.tar.gz",
            "has_sig": false,
            "md5_digest": "54d569b63b29c7b9f0f366ab525c4cbe",
            "packagetype": "sdist",
            "python_version": "source",
            "requires_python": null,
            "size": 6974,
            "upload_time": "2019-05-16T07:56:21",
            "url": "https://files.pythonhosted.org/packages/03/03/318d4de0a4b3d535ebd67f774927aede5e6aa6884e61ef94985e3f89e516/sna_prediction-1.1.tar.gz"
        }
    ]
}