taggy is a frontend package to automatically tag (or categorize) textual content.

Tagging content in web-based editorial systems -i.e. assigning content to a selection of topics -is mostly still done manually and therefore tedious and error-prone. Especially when it comes to large amounts of data.Proprietary systems are often expensive and questionable in terms of data protection.

• An open, easy-to-start-with, easy-to-integrate and quite powerful frontend module to fit your tagging needs.

• Just define some trigger words or put in your existingglossary and start to tag your content.

• try it out here

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

Categorize input while typing:

Tag them automatically:

Please visit themain repo of taggy to get going quickly.

This is a list of words in JSON-format with categories and keywords. taggy categorizes the input based on that.The structure is like this:

{"tags": [    {"category":"Herbs and Spices","keywords": ["Rosemary","Parsley","Pepper","Thyme","Mint","Chilli","Basil","Dill" ]    },    {"category":"Vegetables","keywords": ["Potatoes","Cucumber","Garlic","Carrots","Spinach","Onion","Mushrooms" ]    },    {"category":"Fish","keywords": ["Salmon","Tuna","Red Snapper","Sardines","Herring","Flounder","Bass","Mackerel" ]    }  ]}

Media Tech Lab by Media Lab Bayern (@media-tech-lab)

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