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Content Classification: Gain Depth and Accuracy in Your Exploration

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A few months ago we released a great new AI-based feature, Content Classification, available within our Radarly social listening platform's workspaces and Insight Pages. We already had a way to classify content within the platform, but we totally reinvented it to make it stronger and more powerful.

Today, we are pleased to let you know that we strengthened this great feature by integrating those categories to our filters system.

As we are so proud of the result, we wanted to let you know more about it and why it’s interesting for our clients.

Let’s take a deep dive into it.

Our new content classification is designed to classify content into a predefined set of categories. It is available in Radarly and the Insight Pages through different widgets such as the sunburst, bar charts and word clouds.



Why is this new categorization better than the previous one?

More adapted 

We now use an ontology of categories inspired by the IAB Content Taxonomy which is the standard of marketing and online advertising that all major providers in the sector currently use. The feature is more adapted to social media than our current categorization -  previously only using an ontology that came from the press. This is a much better way to address our clients' current business use cases.


Our new Content Classification classifies content between a predefined set of 370 categories belonging to a 3-level ontology (eg: Sports > Team Sports > Rugby). Before, we classified content in only a hundred categories at a 2-level granularity. As a result, we are now able to go deeper and be more granular when classifying content. 


Another great part of the feature is that documents can now be assigned to several categories. Our current process to categorize content required us to detect an entity (e.g. a brand or organization) to categorize a document. This is no longer the case. Content classification also allows us to classify short posts like tweets and Instagram posts rather than before, we were not able to classify this kind of document.

It covers 95% of English, French, Italian, Spanish, Portuguese, German and Swedish content. All those improvements allow use to get more than 18x documents classified.

As you can probably gather, thanks to this awesome feature, we are able to bring our clients a much more accurate and deeper content classification. 


Why is this good news for you?

An easier exploration mode

If you use Radarly to explore what is being said around your brand or specific topics, this feature helps a lot. Here are some highlights of how the feature can help:

  • Brand monitoring: content classification help you understand more clearly and precisely what topics are associated with your brand (or your competitors’ ones). Tip: When it comes to brand monitoring, there is another tool worth checking out – the Meltwater social media management platform!

  • Topic monitoring: if you need to gain a deeper understanding of a specific topic, you’ll be able to look at this topic with more depth, and understand what are the related topics, which brands are trending, be able to follow the evolution, and so on. 

  • Content Inspiration: another interesting use of this feature is to explore the topics of interests for a specific audience. If you set up a specific corpus of people that match your personas, you’ll be able to understand what their topics of interests are and understand what the related topics are in order to give you inspiration for your next pieces of content.

  • Trend monitoring: Using content classification, you’ll be able to listen to a category directly in Radarly, without biasing the results with your query. 

Getting more accurate boolean queries

In addition to making your life easier to the specific use cases we mention, this feature will also be a huge help to create more accurate boolean queries. 

Today, when you want to explore a specific trend, you have to build a very complex query to allow you to capture all the posts around a specific trend without forgetting a brand that leads the conversation or a similar expression to the one you want to cover to make sure your results will be accurate. 

If you try today, you’ll see that it’s hard to build the right query as you could:

  • Build a too narrow of a query: you might forgot some important items on your query
  • Get too noisy of results: if you build too large of a query

With content classification your life will be much easier as you just have to filter from our list of 400 categories.

This way, you are sure to get more accurate results without the need to grapple with complex boolean queries, and to more easily retrieve all the interesting posts about the topic you want to explore.

Moreover, the contextualization could be hard to be translated into queries as, sometimes, you need to exclude a lot of terms or include other ones so that the machine can understand what you mean. With the content classification you just need to specify the category you want to follow to make sure the system will retrieve the right posts for you. For instance, if you are working for Jimmy Choo, and you want to follow what’s being said about your brand, no need to exclude a lot of keywords anymore to make sure the posts retrieved will talk about Fashion.  

We hope you're as excited as we are about this new feature, and that you’ll immediately benefit from the significantly improved results it can deliver for you!

If you'd like to find out more about how our new content categorization works, please contact your account manager.


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