The name we give to this field will simply be “full-name”, so we’ll put that under “Form input”. So let’s look at our first field from the list we defined earlier. Usually, it’ll look something like “Can you tell me X?” such as “Can you tell me your name? ” or “Can you tell me your order ID ?”, but you’re free to change this in any way that makes sense. This is the phrase to ask the customer to provide the relevant data. If you’re not sure what type to pick, be sure to read about named entity recognition (NER) to know more about the possibilities. It can be one of the entities that are predefined or you can create a custom one. This is the type of field you want to extract. Make sure the name is self-explanatory so that you quickly know what kind of data to expect in this kind of field. This is the name that you want to give to the first field of the form. For each field we need to give the following: In the next window, we’re asked to enlist our fields. In this case, we set the “Language” to “English”.Ĭlick on “Next: Set up parameters” to navigate to the next step. Therefore, we’d like you to specify the language in which you want to automate your conversations so that our platform selects the right models behind the scenes. MessageBird’s Named Entity Recognition employs machine learning models that are trained for 1 language specifically. Our dataset name will be “Sign Up Form”, but of course the name is really up to you! We’ll select “Form” as the “Dataset type”. Then, we’ll create a new dataset by clicking “Create dataset” on the top right. So go ahead and click on “Knowledge Bases”. This is a new kind of Knowledge Base that can be found under the Knowledge Bases overview, which is available in the menu on the left of the dashboard. This next step is about setting up a Form knowledge base. Alternatively, you can look through our remaining quickstarts for other channels. Let’s now dive into the steps one by one!įollow these steps to get started with Telegram. These are just the high-level descriptions.
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