NewsRecommender

所属分类:特征抽取
开发工具:Jupyter Notebook
文件大小:1091KB
下载次数:0
上传日期:2019-03-08 08:53:27
上 传 者sh-1993
说明:  使用新闻API、word2vec和机器学习模型的简单新闻推荐服务
(A simple News Recommendation service using News API, word2vec and Machine Learning models)

文件列表:
NLP.ipynb (1098606, 2019-03-08)
TestModel.ipynb (8758, 2019-03-08)
TrainModel.ipynb (86289, 2019-03-08)
feed.py (1250, 2019-03-08)
feedback.py (374, 2019-03-08)
main.py (802, 2019-03-08)
model.py (326, 2019-03-08)
nlp.py (1346, 2019-03-08)
requirements.txt (179, 2019-03-08)
static (0, 2019-03-08)
static\arch.png (40621, 2019-03-08)
static\index.html (4429, 2019-03-08)
static\screenshot.png (409047, 2019-03-08)
stopwords.py (8867, 2019-03-08)
training (0, 2019-03-08)
training\entities.joblib (151504, 2019-03-08)
training\feedback.txt (127750, 2019-03-08)
training\keyterms.joblib (155754, 2019-03-08)
training\requests.txt (693861, 2019-03-08)
training\vector.joblib (3273, 2019-03-08)

![Alt text](https://github.com/samk3211/NewsRecommender/blob/master/./static/screenshot.png) ### Installation and running instructions: 1. Run: pip install -r requirements . 2. Run: python -m spacy download en_core_web_md-2.0.0 --direct . 3. Download: https://s3.amazonaws.com/dl4j-distribution/GoogleNews-vectors-negative300.bin.gz 4. Run: python main.py . 5. Navigate to http://localhost:5000. 6. For training, copy data from logs to training directory. Run and see jupyter notebooks. ### Application architecture: ![Alt text](https://github.com/samk3211/NewsRecommender/blob/master/./static/arch.png)

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