factable
所属分类：自然语言处理
开发工具：Python
文件大小：2815KB
下载次数：0
上传日期：2017-04-10 19:09:04
上 传 者：
sh-1993
说明： 事实证明，MHacks 9项目。使用NLTK和Scikit Learn来确定新闻文章是否是假新闻。
(factable,MHacks 9 Project. Uses NLTK and Scikit Learn to determine whether or not a news article is fake news.)
文件列表:
app.py (2804, 2017-04-11)
factcheck (0, 2017-04-11)
factcheck\__pycache__ (0, 2017-04-11)
factcheck\__pycache__\analysis.cpython-35.pyc (2649, 2017-04-11)
factcheck\__pycache__\colors.cpython-35.pyc (1110, 2017-04-11)
factcheck\__pycache__\parseArticle.cpython-35.pyc (934, 2017-04-11)
factcheck\analysis.py (3445, 2017-04-11)
factcheck\colors.py (1220, 2017-04-11)
factcheck\generate.py (6140, 2017-04-11)
factcheck\normalize.py (1166, 2017-04-11)
factcheck\parseArticle.py (972, 2017-04-11)
factcheck\saved_documents.pickle (1442789, 2017-04-11)
factcheck\saved_word_features.pickle (176054, 2017-04-11)
factcheck\testurl.py (1220, 2017-04-11)
factcheck\textDumps (0, 2017-04-11)
factcheck\textDumps\false_text_dump.txt (515780, 2017-04-11)
factcheck\textDumps\true_text_dump.txt (732437, 2017-04-11)
factcheck\textNormalized (0, 2017-04-11)
factcheck\textNormalized\false.txt (513959, 2017-04-11)
factcheck\textNormalized\true.txt (729985, 2017-04-11)
factcheck\trainedClassifiers (0, 2017-04-11)
factcheck\trainedClassifiers\bnb.pickle (576628, 2017-04-11)
factcheck\trainedClassifiers\lreg.pickle (336842, 2017-04-11)
factcheck\trainedClassifiers\lsvc.pickle (336777, 2017-04-11)
factcheck\trainedClassifiers\mnb.pickle (576600, 2017-04-11)
factcheck\trainedClassifiers\sgd.pickle (337036, 2017-04-11)
static (0, 2017-04-11)
static\css (0, 2017-04-11)
static\css\styles.css (2674, 2017-04-11)
static\img (0, 2017-04-11)
static\img\devpost_1.png (122470, 2017-04-11)
static\img\devpost_2.png (487947, 2017-04-11)
static\img\page-loader.gif (46809, 2017-04-11)
static\js (0, 2017-04-11)
static\js\jquery-3.1.1.min.js (86709, 2017-04-11)
static\js\script.js (128, 2017-04-11)
templates (0, 2017-04-11)
templates\error.html (2118, 2017-04-11)
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