Why is automated metadata-tagging better than manual tagging?
Metadata is imperative for efficiently managing your educational content. There are thousands, if not millions, of books, texts, and different learning materials that need to be sorted, organized and documented in publishers’ content management systems (CMS). In this blog post, we’ll reveal how automated metadata-tagging can help you get the job done faster, cheaper and with higher quality and accuracy.
First, what exactly is metadata?
Metadata is a set of data that describes and gives information about other data. The topic of a text or its main keywords can be used as metadata. Other examples of metadata types are reading level, content length, author, content source, learning objective and so forth. Extracting metadata is best performed through automation which is powered by artificial intelligence.
Benefits of automated metadata-tagging:
1. Get metadata faster
Usually, when publishers want to have their content tagged with relevant metadata, they rely on manual labour. It can be either performed in-house by regular employees or by freelance editors. The problem is that both options are very slow - typically taking several months to complete the tagging of one subject area.
With EDIA, the metadata-tagging process is performed instantly. After the content is submitted for analysis, the metadata is immediately generated. You can see the immediate content tagging in our demo or through a video demonstration of our Alfresco integration.
2. Get metadata cheaper
Manual metadata-tagging can be an expensive process. It can cost (on average) € 2 - € 5 per content item! EDIAs pricing starts at €0,5 per call for the lowest transaction volumes.
Our customers are able to save up to 90% or €4,5 of the costs of extracting metadata from their content as compared to the manual process. Clearly, AI beats the price of manual metadata tagging and can process content 24/7.
3. Get higher-Quality metadata
Metadata quality is of the utmost importance when it comes to managing your CMS efficiently. Unfortunately, humans struggle with creating high-quality metadata because of consistency, interpretation or simply spelling. Therefore, publishers often find content that isn’t tagged with the right metadata such as the appropriate reading level, important keyword, or descriptive topics.
However, by automating the process of metadata tagging through artificial intelligence AI can take over the heavy lifting of data entry and tag content with significantly higher quality than humans. Each AI-classifier that extracts particular metadata type from the content, has a different accuracy rate. Still, the overall accuracy approaches 0.8 as expressed in the F1-score.
Conclusion:
Overall, automated metadata tagging is fast and cost-saving. Also, artificial intelligence can increase the quality of the metadata.
The benefits of well-tagged content are manyfold - editors can find the right materials, while authors can avoid recreating content that already exists in their CMS. Furthermore, the power of artificial intelligence-driven metadata tagging offers publishers the opportunity to capitalize adaptive content for personalized learning at scale.
About EDIA
EDIA education technology was founded in 2004 and is based in Amsterdam, the Netherlands. In 2006, EDIA launched its first AI product for education, which used machine learning and natural language processing to curate online text sources for vocabulary training. The product won several international awards and is still widely used today. In recent years EDIA transformed into a SaaS platform by applying Artificial Intelligence technology to analyse text.
To learn more, schedule an appointment with EDIA sales team today.