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        "description": "\n# SHiNiNG nlp toolkit\n## The easiest and powerful deep-learning-text-classifier for human beings and all purposes.\n## AUTHOR - Lan-Yixiao Eathoublu From Northeastern University Shenyang China.\n## Contact: 1012950361@qq.com\n\n\n## Introduce\n\nThis is a lightweight nlp toolkit based on keras, tensorflow, gensim and jieba. So you should install these package at first.\nIt provided only two APIs which is the easiest and powerful way for users to train there model and use it in production environment for all purposes.\n\n\n## How to use it?\nTo use it is easy.\n```python\n\nimport SHiNiNG\n\nsng = SHiNiNG.Shining()  # get instance of Shining.\n\n```\n\nThere\u2019s only two APIs.\n\n```python\nShining().train_from_file(text_src='', tag_src='')  # get data and target split by \u2018\\n\u2019 in files, you should run this method first to get trained model to predict. All of it is automatically done.\nShining().predict_from_file(src_file_path='')  # get data need to be predict from file, and get the target in \u2018output.txt\u2019\n\n```\n\n\n\n\n\n\n\n",
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