Open Semantic Tagging

taggy is an open frontend tool that recognizes context and automatically assigns appropriate tags to texts. For example, incoming requests from contact forms, blog posts or other editorial content can be automatically categorized correctly.

As a lightweight frontend library, taggy can be quickly and easily integrated into existing web systems to then take over the normally tedious task of tagging.

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Problem

Tagging content in web-based editorial systems, i.e. assigning content to a selection of topics, has not really evolved over the last few years. Many still tag manually and have problems with large amounts of data.

Idea

taggy is a standard component for web-based smart tagging, as an extension for common frontend technologies and CMS platforms. taggy recognizes what content a text contains and what the main topic is, and does so without (paid) external services and interfaces.

Solution

taggy as a freely available web component is simply integrated into the existing web system and fed with an existing glossary (list of keywords). Then taggy is immediately ready to use to assign any incoming texts to the right topics.

Example

Assign form input by your users automatically to the right internal tracks

Media Tech Lab

Fellow of the Project

Johannes Busching

Johannes has a background in the media industry and combines it with his know-how as a computer scientist. His main topics are Natural Language Processing, automatic classification/indexing of content and the evaluation and (re-)usability of audio material.

LinkedIn | Johannes Busching

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