论文标题
将作家匹配到内容编写任务
Matching Writers to Content Writing Tasks
论文作者
论文摘要
企业需要内容。以各种形式和格式以及各种目的。实际上,内容营销行业将在2021年底到2021年底价值4128.8亿美元。但是,根据内容营销学院的说法,创建引人入胜的内容是营销人员今天面临的第一挑战。我们无法承受的是,制作出色的内容需要了解业务并可以将其信息编织到读者(和搜索引擎)友好内容的伟大作家。在这个项目中,团队试图通过使用AI和ML工具来弥合作家和项目之间的差距。我们使用NLP技术来分析您对公开商业文章(CORPORA)的态度,以为每个写作样本提取各种定义因素。通过这个项目,我们旨在自动化高度耗时的,并且经常有偏见的任务,即手动将最合适的作者列入给定内容写作要求。我们认为,这样的工具对双方都具有很大的积极影响 - 寻求适合利基写作工作的人才以及经验丰富的作家和主题专家(中小型企业),希望将其服务借给内容营销项目。业务获得了他们需要的内容,内容作家/中小企业有机会利用他或她的才华,而读者获得了真正的价值的真实内容。
Businesses need content. In various forms and formats and for varied purposes. In fact, the content marketing industry is set to be worth $412.88 billion by the end of 2021. However, according to the Content Marketing Institute, creating engaging content is the #1 challenge that marketers face today. We under-stand that producing great content requires great writers who understand the business and can weave their message into reader (and search engine) friendly content. In this project, the team has attempted to bridge the gap between writers and projects by using AI and ML tools. We used NLP techniques to analyze thou-sands of publicly available business articles (corpora) to extract various defining factors for each writing sample. Through this project we aim to automate the highly time-consuming, and often biased task of manually shortlisting the most suitable writer for a given content writing requirement. We believe that a tool like this will have far reaching positive implications for both parties - businesses looking for suitable talent for niche writing jobs as well as experienced writers and Subject Matter Experts (SMEs) wanting to lend their services to content marketing projects. The business gets the content they need, the content writer/ SME gets a chance to leverage his or her talent, while the reader gets authentic content that adds real value.