Quick tutorials

Know what you can do with tagtog with the following tutorials. Moreover, we publish other tips on our ­čŚ× Medium blog.

Train and deploy a custom ML model to recognize dates in text in 5 minutes

Learn how to create and use an custom ML model from scratch just by using some text annotations. We are going to show you how to build a model that extracts dates in text. All will take 5 minutes of your time.

Learn how overlapping text annotations can help you train a model more efficiently

Overlapping annotations increase the flexibility and allow you to make the most out of your data. Learn how to use them and in which scenarios.

How to build a very simple pipeline to recognize Pok├ęmon names using a dictionary

Dictionaries are simple controlled vocabularies, and yet a powerful resource when you have a well-defined list of items you want to recognize in text, especially if those items are identified with different names. Learn how to use them and when to use them with a practical example.

How to build and use an ML model to identify Donald Trump's Tweets related to the environment :earth_americas:

Here we show you to easily train an ML model given a few text annotations. Later we use this model to analyze some of the tweets from Donald Trump and identify automatically those connected with the environment. Let's see what he thinks about it!