Automatically finding matches between social media posts and news articles

被引：1

作者：

Miranda, Filipe ^{[1
]}

Figueira, Alvaro

机构：

[1] CRACS INESCT TEC, Porto, Portugal

来源：

2017 IEEE 15TH INTL CONF ON DEPENDABLE, AUTONOMIC AND SECURE COMPUTING, 15TH INTL CONF ON PERVASIVE INTELLIGENCE AND COMPUTING, 3RD INTL CONF ON BIG DATA INTELLIGENCE AND COMPUTING AND CYBER SCIENCE AND TECHNOLOGY CONGRESS(DASC/PICOM/DATACOM/CYBERSCI | 2017年

关键词：

social networks; newsworthy; information retrieval; web mining;

D O I：

10.1109/DASC-PICom-DataCom-CyberSciTec.2017.170

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Social networks can often be considered the main stage of news, so detecting newsworthy information in this media is a relevant subject of study. Labeling automatically messages shared in social networks is an area of study that can be used directly to detect newsworthy information or to serve as training data for other projects. The solution presented in this work is to use the news as the base knowledge for the classification of messages. The results of this application were promising, with an accuracy of over 90% in detecting news related messages in our datasets.

引用

页码：1039 / 1046

页数：8

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