Flagging-Fake-News
所属分类：特征抽取
开发工具：Jupyter Notebook
文件大小：9764KB
下载次数：0
上传日期：2017-06-07 09:37:09
上 传 者：
sh-1993
说明： 利用描述性、LDA、立场检测和情感分析来标记假新闻
(Utilizing descriptive, LDA, stance detection and sentimental analysis to flag fake news)
文件列表:
Flagging Fake News.pptx (6511175, 2017-06-07)
flagging_fake_news.ipynb (3220931, 2017-06-07)
report06_final.docx (1346169, 2017-06-07)
# Flagging-Fake-News
This is the final project of the course - Mining Web Data for Business Insights.
Our chosen topic is utilizing data analytics to flag fake news.
The analysis involves descriptive, LDA, stance detection and sentimental analysis.
Compared with null accuracy of 50.7%, we achieved accuracy of 93% by ensemble methods and AUC of 0.***.
# Python Codes:
flagging_fake_news.ipynb
# Project Report:
report06_final.docx
# Project Presentation:
Flagging Fake News.pptx
# Prepared By:
Deivapriya RAJENDIRAN,
KOH Jia Xiang,
LIAW Sze Wai Sylvia,
NG Hui Yi Nicole,
XU Yuwen,
YAU Chung Yin Jack
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