基于用户关注的新闻价值特征项研究

2019 IEEE 4th Advanced Information Technology, Electronic and Automation Control Conference (IAEAC) Pub Date : 2019-12-01 DOI:10.1109/IAEAC47372.2019.8997554

Yao Fu, Chi Zhang

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引用次数: 0

摘要

随着网络技术的更新和新闻发布量的大量增加，选择更符合受众切入点、新闻价值更高的新闻选题显得尤为重要。本实验在随机森林算法的基础上，利用新闻价值知识体系构建新闻价值特征项，并制定定量计算新价值特征项特征重要性的算法，为新闻价值预测的研究提供更准确、可用的方法，帮助新闻业更好、更有效地开展工作。

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Research on News Value Feature Item Based on User Attention

With the update of network technologies and the large increase in the number of news releases, it is more important to choose news topics that are more in line with the audience entry point and higher news value. Based on the random forest algorithm, this experiment utlizes the news value knowledge system to construct the news value feature items, and formulates the algorithm to quantitatively calculate the feature importance of the new value feature items to provide a more accurate and usable method for the research of news value prediction, which can help journalism works better and more effectively.

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来源期刊

2019 IEEE 4th Advanced Information Technology, Electronic and Automation Control Conference (IAEAC)

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