{ "info": { "author": "Hironsan", "author_email": "hiroki.nakayama.py@gmail.com", "bugtrack_url": null, "classifiers": [ "License :: OSI Approved :: MIT License", "Programming Language :: Python", "Programming Language :: Python :: 2.7", "Programming Language :: Python :: 3.4", "Programming Language :: Python :: 3.5", "Programming Language :: Python :: 3.6", "Programming Language :: Python :: Implementation :: CPython", "Programming Language :: Python :: Implementation :: PyPy" ], "description": "# asari\nAsari is a Japanese sentiment analyzer implemented in Python.\n\n![Image](./docs/asari.jpg)
\nPhoto by [Andrew Buchanan](https://unsplash.com/@photoart2018) on [Unsplash](https://unsplash.com/)\n\nBehold, the power of asari:\n\n```python\n>>> from asari import Sonar\n>>> sonar = Sonar()\n>>> sonar.ping(text=\"\u3044\u3044\u611f\u3058\u3067\u3059\uff01\")\n{\n \"text\" : \"\u3044\u3044\u611f\u3058\u3067\u3059\uff01\",\n \"top_class\" : \"positive\",\n \"classes\" : [ {\n \"class_name\" : \"positive\",\n \"confidence\" : 0.9965442572893405\n }, {\n \"class_name\" : \"negative\",\n \"confidence\" : 0.003455742710659515\n } ]\n}\n```\n\nAsari allows you to classify text into positive/negative class, without the need for training. You have only to fed text into asari.\n\n## Installation\nTo install asari, simply use `pip`:\n\n```bash\n$ pip install asari\n```\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/Hironsan/asari", "keywords": "", "license": "MIT", "maintainer": "", "maintainer_email": "", "name": "asari", "package_url": "https://pypi.org/project/asari/", "platform": "", "project_url": "https://pypi.org/project/asari/", "project_urls": { "Homepage": "https://github.com/Hironsan/asari" }, "release_url": "https://pypi.org/project/asari/0.0.3/", "requires_dist": [ "numpy (>=1.14.0)", "pandas (>=0.22.0)", "scikit-learn (>=0.19.1)", "scipy (>=1.0.0)", "Janome (>=0.3.7)" ], "requires_python": "", "summary": "Japanese Sentiment Analyzer implemented in Python", "version": "0.0.3" }, "last_serial": 4794015, "releases": { "0.0.1": [ { "comment_text": "", "digests": { "md5": "0e4702871eb817eec21d6a8723987fdb", "sha256": "fea68cb6f21c0ff263a79e600a23e0098e9b94b51cece1955d9588a6514b7d66" }, "downloads": -1, "filename": "asari-0.0.1-py3-none-any.whl", "has_sig": false, "md5_digest": "0e4702871eb817eec21d6a8723987fdb", "packagetype": "bdist_wheel", "python_version": "py3", "requires_python": null, "size": 8671866, "upload_time": "2019-02-06T05:22:35", "url": "https://files.pythonhosted.org/packages/21/0f/af6ddddb3e745c2c5f18688d57131ac4bd432bd55f9e4b225b69211768a6/asari-0.0.1-py3-none-any.whl" } ], "0.0.2": [ { "comment_text": "", "digests": { "md5": "229af475c73c931d0b2f9aa9429d4f06", "sha256": "cb889280bc73d15e71be6f24ee245d2eb3b1194f062648acc92c76a33f26b55a" }, "downloads": -1, "filename": "asari-0.0.2-py3-none-any.whl", "has_sig": false, "md5_digest": "229af475c73c931d0b2f9aa9429d4f06", "packagetype": "bdist_wheel", "python_version": "py3", "requires_python": null, "size": 8671886, "upload_time": "2019-02-06T06:13:21", "url": "https://files.pythonhosted.org/packages/1e/aa/c20a7a50fcf6c7281fdd0af1adee3e5bf1740997519dd0532579bd1141c5/asari-0.0.2-py3-none-any.whl" } ], "0.0.3": [ { "comment_text": "", "digests": { "md5": "9a3cc51900e88476d08ba1cfeb29f37f", "sha256": "bd8b2404bba86ea511a707eded20995a6b35ab13f31a1d2ae0dd19776da1bc6a" }, "downloads": -1, "filename": "asari-0.0.3-py3-none-any.whl", "has_sig": false, "md5_digest": "9a3cc51900e88476d08ba1cfeb29f37f", "packagetype": "bdist_wheel", "python_version": "py3", "requires_python": null, "size": 12253486, "upload_time": "2019-02-08T03:39:35", "url": "https://files.pythonhosted.org/packages/a2/73/0ada477dd1aaab8be3b66bd9b693476c6b7b571bed2feed72ee64c20daf5/asari-0.0.3-py3-none-any.whl" } ] }, "urls": [ { "comment_text": "", "digests": { "md5": "9a3cc51900e88476d08ba1cfeb29f37f", "sha256": "bd8b2404bba86ea511a707eded20995a6b35ab13f31a1d2ae0dd19776da1bc6a" }, "downloads": -1, "filename": "asari-0.0.3-py3-none-any.whl", "has_sig": false, "md5_digest": "9a3cc51900e88476d08ba1cfeb29f37f", "packagetype": "bdist_wheel", "python_version": "py3", "requires_python": null, "size": 12253486, "upload_time": "2019-02-08T03:39:35", "url": "https://files.pythonhosted.org/packages/a2/73/0ada477dd1aaab8be3b66bd9b693476c6b7b571bed2feed72ee64c20daf5/asari-0.0.3-py3-none-any.whl" } ] }