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 existing glossary 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 the main 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)