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Findings from Renmin University of China Broaden Understanding of Machine Learning (Success Prediction of Crowdfunding Campaigns With Project Network: a Machine Learning Approach)

机译:发现来自中国人民大学的扩大对机器学习(成功的理解预测群体集资活动与项目网络:一种机器学习方法)

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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Research findings on Machine Learning are discussed in a new report. According to news reporting originating from Beijing, People’s Republic of China, by NewsRx correspondents, research stated, “In the last decade, crowdfunding has emerged as a new form of Internet finance, providing founders with a channel through which they can raise funds from the public. Prior studies have mainly investigated two types of crowdfunding success predictors: conventional numerical features (e.g., project goal, duration, number of rewards, number of comments and the presence of a video) and features extracted from textual description and project images.”
机译:机器人技术与新闻记者新闻编辑机器学习每日新闻每日新闻——的研究结果在讨论机器学习新报告。来自北京,中华人民共和国中国NewsRx记者、研究说,“在过去的十年中,集资”已成为一种新形式的网络金融,提供创始人与一个渠道从公众筹集资金。主要研究了两种类型的集资”成功因素:传统的数值特性(例如,项目目标、持续时间、数量奖励,评论和存在从文本中提取视频)和特性项目描述和图片。”

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