Create a model with google ML natural language or other potential service

Question

So I have been collecting data of numerous text-descriptions about articles, where as each description was structred differently. Now, I would have to "create" an algorithm, which sorts out the title of that article for me what is a hard task. I have come around Google ML natural language and it seems to be able to create one for me. Unfortunately, I am not really able to exactly find out how I can use it,

so my question is... How precisely can I set it up ? And additionally, it would be helpful to know if firebase has such a service, since I am planning to build a firebase project.

Thanks in advance for any help !

Answer 1

Unfortunately models created using Google AutoML Natural Language are not exportable to Tensorflow lite (mobile models). Based from your use case you will need a model for text classification, the provided link has a sample of how this model work. You can follow this tutorial to train a custom model using the data that you have so it can identify if a title of a article is a hard task or not.

Once training is done you can now:

1. Deploy it in Firebase
2. Download the model in your device and perform testing.

You can find detailed instructions from training the model to testing it on your device for either iOS or android.