Content Classification consists in classifying the content between a predefined set of 370 categories belonging to a 3-level ontology. When it is relevant, the document can be assigned to several categories (ie: Sports & News).

At Linkfluence, we use a 3-level ontology of categories inspired by the IAB Content Taxonomy.

Content Classification is performed based on the content of a document. Thus as mentioned before, the Content Classification is a multilabel classification which means that the content of a document can belong to one or more categories of the ontology.

Note

It would be inaccurate to attempt to classify each document into a single category. As an example, it is highly probable that a long blog post talks about several topics.

example:

Language coverage

We currently support 13 languages (EN, FR, ES, IT, PT, DE, SV, ZH-CN, ZH-TW, RU, KO, JA, NL)

Applications in Radarly

Content Classification is available in Radarly and the Insight Pages through different widgets such as the Topic Wheel (which is a Sunburst visualisation), barcharts and word clouds.

Screenshot: Insight Page

You have the possibility to filter the widgets by clicking on a category.

Screenshot: Insight Page

You have the possibility to filter the widgets by clicking on a category.

Screenshot: Topic view in Posts & Analytics

This view is displayed after clicking on a topic (here it was society).

💡 Tip

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