Robotics & Machine Learning Daily News2024,Issue(Nov.28) :104-104.

University of Bern Reports Findings in Machine Learning (Panning for gold: Compa rative analysis of cross-platform approaches for automated detection of politica l content in textual data)

伯尔尼大学报告机器学习的发现(摇摄)黄金:跨平台方法的比较分析文本数据中政治内容的自动检测

Robotics & Machine Learning Daily News2024,Issue(Nov.28) :104-104.

University of Bern Reports Findings in Machine Learning (Panning for gold: Compa rative analysis of cross-platform approaches for automated detection of politica l content in textual data)

伯尔尼大学报告机器学习的发现(摇摄)黄金:跨平台方法的比较分析文本数据中政治内容的自动检测

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摘要

由一名新闻记者-机器人与机器学习日报的工作人员新闻编辑每日新闻-机器学习的新研究是一篇报道的主题。据新闻报道NewsRx编辑从瑞士伯尔尼报道,研究称,“了解和衡量”高选择媒体环境下的政治信息消费需要新的追踪方法与在线内容的个人互动以及分析和检测与政治有关的新技术信息。在本文中,我们报告了一个比较分析的结果,自动化的性能跨平台德语政治内容检测的内容分析技术女士

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Machine Learning is th e subject of a report. According to newsreporting out of Bern, Switzerland, by NewsRx editors, research stated, “To understand and measurepolitical informatio n consumption in the high-choice media environment, we need new methods to traceindividual interactions with online content and novel techniques to analyse and detect politics-relatedinformation. In this paper, we report the results of a comparative analysis of the performance of automatedcontent analysis techniques for detecting political content in the German language across different platforms.”

Key words

Bern/Switzerland/Europe/Cyborgs/Emer ging Technologies/Machine Learning

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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