AI-based software can offer the greatest flexibility and can run autonomously once set up. These approaches are also evolving quickly. This discussion will focus on AI-based solutions to add tags to content, which is more sophisticated than bulk or rule-based approaches. AI-based tagging: solutions that apply AI.Rule-based tagging: applying tags according to whether the content contains certain words.Bulk tagging: adding identical tags to many similar items at the same time.Note that auto-tagging for description is different from the campaign tags used by Google for ad tracking purposes, which Google also refers to as auto-tags.ĭevelopers have explored ways to reduce the manual effort to tag content to speed up the process and increase its application. Some common approaches include: Tagging is a manual or automated process by which the content is described and labeled with taxonomy terms.Īuto-tagging refers to the automated application of tags to describe content. Because content tags use standardized terms, they are different from social media hashtags, which are normally user-defined.
Tags are a kind of content metadata (but be aware that other kinds of metadata exist that aren’t tags). Tags identify what the content is about according to a defined list of taxonomy terms, which are standardized descriptive keywords. Tags are about terminology, so let’s clarify the terms we will be using. It promises a better way to add tags to content. That’s where interest in auto-tagging comes from. Providing the right content by relying on tags depends on getting the tags right. Tags offer a standard language that can be used across the organization to manage and coordinate its content. They are important because they help to locate the right content that’s needed to support any stage of the content’s lifecycle, whether it’s revising existing content, integrating pieces into large content items, delivering personalized content, or assessing content performance. Tags help people and machines understand what content items are about.
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