AI Tagging in Explore, Analyze, and Monitor

Supercharge your media monitoring with an advanced tagging experience powered by machine learning!

Cheyenne V. avatar
Written by Cheyenne V.
Updated over a week ago

Our new content tagging experience leverages AI Large Language Models (LLMs) to suggest content categories based on the document content. Wherever you can find a universal content stream including Explore, Analyze, and Monitor, you can now tag your content with AI-powered suggestions based on existing tags.


What's the Value?

For users tasked with media monitoring, tags allow you to categorize content based on outcome, need, destination, or campaign type. Spend less time processing, and more time analyzing and actioning your content. After you’ve tagged content with your own tags, the suggested tags will make recommendations consistent with your categorization. The suggested tags will not be new, they will suggest existing tags.

  • Boost your productivity and review a greater volume of content by categorizing it swiftly and intelligently.

  • Harness the power of AI to process and organize your tags in a way that seamlessly integrates with your unique workflows.


How does it Work?

You can find AI tag suggestions on content in content streams found in Explore, Monitor, and Analyze. After applying your own tags, our system will offer suggestions that align with your categorization. Simply use the toggle to activate your AI tag selections. If desired, you can easily disable AI tags by deselecting the toggle button.

Tip: The quantity of the tags are not as important to the relevance of smart AI suggested-tags as the quality. Generic tags will be less likely to suggest tags relevant to your search than specific tags that are reflected in the content. For example, “Teachers’ Strike” or “Academy Awards” will be more likely to suggest the relevant tag if the content matches the tag phrase. However, a tag titled “Q1 campaign” for content in which the only common factor is your brand’s mentions in Q1, the tags will be less consistent.

As long as the toggle is on, our AI technology will continue suggesting tags for you to use.

Once your AI tag suggestions start appearing, click the tags in the perforated lines to apply the AI-suggested tags.

Bulk tagging is simplified with AI tag suggestions elevated to the top of the list. Select your AI tags, then hit apply to tag multiple content selections.


FAQs

  1. Q: How do I get the most out of the AI tagging feature?

    A: AI Tags work best if you consistently tag similar content with the same tag. The more you tag, the faster we learn, and the better your suggestions will be.

  2. Q: Is it possible to have a tag always show up for a given search? Example, if I want to tag all articles with a topic even if the topic isn’t contained in the article?

    A: Not currently. Today, the content of the article or post determines the suggested tag. In the future, customized suggestions will be available.

  3. Q: Will the AI tagging feature suggest new tags based on the document content?

    A: No. After you’ve tagged content with your own tags, the suggested tags will make recommendations consistent with your categorization. The suggested tags will not be new, they will suggest existing tags.

  4. Q: Why are there no AI tags showing up after I click the AI tag toggle?

    A: As tag suggestions are based off of your existing tags, you must have at least one saved tag in your account for AI tags to work.

  5. Q: Is there a recommended arbitrary number of content you should have tagged before truly relying on the AI Tag suggestions?

    A: No. The quantity of the tags are not as important to the relevance of smart AI suggested-tags as the quality. Generic tags will be less likely to suggest tags relevant to your search than specific tags that are reflected in the content. For example, “Teachers’ Strike” or “Academy Awards” will be more likely to suggest the relevant tag if the content matches the tag phrase. However, a tag titled “Q1 campaign” for content in which the only common factor is your brand’s mentions in Q1, the tags will be less consistent.

  6. Q: Will my tags be used to train AI models?

    A: No. Meltwater uses internal smart recommendations to suggest tags based on your existing tags. For more information about how Meltwater uses AI, click here.

  7. Q: What languages does the AI tags feature work with?

    A: AI Tags can be applied to the 53 languages Meltwater supports (ar, bg, ca, cs, da, de, el, en, es, et, fa, fi, fr, fr-ca, gl, gu, he, hi, hr, hu, hy, id, it, ja, ka, ko, ku, lt, lv, mk, mn, mr, ms, my, nb, nl, pl, pt, pt-br, ro, ru, sk, sl, sq, sr, sv, th, tr, uk, ur, vi, zh-cn, zh-tw).


💡 Tip

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