Matching Writers to Content Writing Tasks
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...
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Zusammenfassung: | 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. |
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DOI: | 10.48550/arxiv.2204.09718 |