NLP_Fake-News-Detection-Classifier
所属分类：特征抽取
开发工具：Jupyter Notebook
文件大小：3095KB
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上传日期：2021-03-16 11:22:40
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sh-1993
说明： 注意：此存储库由NLP项目的文件组成-假新闻检测分类器，该分类器作为数据库保存...
(Note : This Repository consists files of the NLP Project - Fake News Detection Classifier which was held as a Data Science assessment by Techigai ,Hyd.)
文件列表:
DS-Assignment.7z (3024197, 2021-03-16)
Fake News Detection Classifier_DS Assignment_Sai Vivek.ipynb (190916, 2021-03-16)
Fake News Detection Classifier_DS Assignment_Sai Vivek.py (7186, 2021-03-16)
Fake News Detection.pdf (102638, 2021-03-16)
# NLP_Fake-News-Detection-Classifier
This Repository consists files of the NLP Project - Fake News Detection Classifier which was held as a Data Science assessment by Techigai ,Hyd.
Fake News Detection
Problem Statement :
It has become extremely easy to propagate any information to the masses, thus making Fake News a potential threat to public discourse. We would like you to build a model that
when given a news article should determine the relevance of the body and the claim and classify the article accordingly into four categories: ‘agree’, ‘disagree’, ‘discuss’ and
‘unrelated’. Classes ‘disagree’ and ‘unrelated’ provide strong evidence that the news is fake, ‘agree’ indicates that the news is genuine.
Validation Metric
F1-Score
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