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所在平台: Udemy |
课程主页: https://www.udemy.com/course/automated-content-production/
课程评论：没有评论
课程名称：自动化内容生产 课程概述： 本课程旨在为非技术人员、领导者、管理者、新人和初学者提供自动化新闻内容生产的知识。自然语言生成（NLG）技术能够将数据转化为清晰、自然的叙述，适用于各个行业和应用。现今，众多顶级新闻出版社、内容创作者、医疗公司、金融机构、体育公司、能源公司、石油公司及娱乐行业等，均已应用自然语言生成技术，以提升内容和报告的创作速度、规模与效率。例如，曾经只能力产出每季度300份财务报告的美联社（Associated Press），如今通过NLG技术，每个季度能够生成超过5000份总结，大幅释放了20%记者的时间，产生提升近15倍的效果。 课程内容： 本课程是一个更广泛的三部分高级课程“自动化内容生产与新闻算法”的一个模块，包含3个主题和23个学习视频，提供视频文字记录和练习问题。课程特别关注以下几个方面： 1. 自动化内容生产（ACP）概述及其与信息报道的技术，尤其从新闻报道的视角出发。 2. 大数据在自动化内容生产中的应用以及自然语言生成的角色。 3. 自动新闻的运作机制及当前提供最佳NLG软件的公司。 4. 知名新闻出版商如何利用ACP生成最小人力输入的新闻，并进行个性化内容创作以增加用户参与度。 5. 自动化内容生产对新闻工作的价值、潜能及其局限性，确保人类在此过程中仍然发挥重要作用。 6. 如何使用Arria Studio自然语言生成软件进行数据自动叙述和故事呈现的逐步指南。 7. 算法在新闻分发中的作用及其对新闻消费的巨大贡献。 8. 新闻出版商如何利用算法的力量吸引读者回归，并探讨现有实践。 9. 基于算法帮助决策的分类及其作为信息“守门人”的角色。 10. 内容优化与受众分析，并探讨新闻出版商如何使用多种工具优化新闻创作。 课程不仅包含23个视频学习内容、文字记录和练习问题，以帮助强化学习与理解，还能够引导学习者掌握将数据转化为自然语言的能力，减少手动写报告的烦恼。无论是内容创作者、作家、管理者还是研究者，本课程都将为您展示自动化内容生产的未来及其带来的机遇。
Automated News Content Production Using Natural Language Generation, for Non-Technicals, Leaders, Managers, Freshers and Beginners.Natural language generation (NLG) is a technology that transforms data into clear, human-sounding narratives-for any industry and application.Top news publishers, content creators, health companies, finance institutions, sports companies, energy companies, oil companies, entertainment companies and many more industries are already using Natural Language Generation to increase the SPEED, SCALE and TIME of creation of content and reports.Facts!!Associated Press (AP) once upon a time only had the capacity to produce 300 financial reports a quarter, leaving thousands of potential company earnings reports unwritten.Today, using Natural Language Generation (NLG), AP produces over 5,000 quarterly recaps, freeing up 20% of journalists' time that was previously spent on writing recaps. This an almost 15-fold increase over its manual efforts.Yahoo! Sports uses NLG technology to create over 70 million match recaps and reports and every single one of them is unique.This increased time spent on page for website visitors, delighting and delivering a massive user base.Are you looking to turn your data into clear natural language? Are you tired of writing manual reports? Or narrating huge amounts of data manually? Or wondering what the future of Artificial Intelligence (AI) holds for you a content creator, writer, manager, leader, researcher? Then this course is for you.This course is a single installation of a broader advanced 3-part course called ‘Automated Content Production and News Algorithms'. It consists of 3 modules and 23 learning videos including the transcript and practice questions.This Part of the course covers;An Overview of Automated Content Production (ACP) and its techniques especially as it relates to information reporting, from the journalistic point of view.How Big Data is used in Automated Content Production and the part Natural Language Generation plays.How Automated Journalism works and companies who currently offer the best Natural Language Generation software that facilitates automated journalism.Top news Publishers using Automated Content Production (ACP) to create news with minimal human input, and to generate personalized content while increasing engagement.The value Automated Content Production (ACP) brings to journalism, the potential it delivers, and its limitations, which ensures that humans also play a huge role in the process.A step-by-step guide on how to use Arria Studio Natural Language Generation Software to automatically narrate data or tell stories from a data sheet.How algorithms help to facilitate news distribution and are hugely contributing to news consumption.How news publishers can leverage the power of algorithms to get their readers to keep coming back. News publishers already doing this.Categorization of algorithms based on the decisions they help us makeThe roles algorithms play in determining what we see and do not see. How algorithms act as gatekeepers of information.Content optimization and audience analyticsHow news publishers are optimizing news creation using a wide range of tools that facilitate better content creation.Content optimization, sentiment analysis and content dissemination, using election as a case study.You will get 23 videos of learning content with transcript and practice questionsBesides the video materials, there are also transcripts of the videos, and practice questions to help guide and reinforce your learning.
