Platform
Getting Started
So, what we can do with the Platform?
Platform Introduction
General organization's settings
Platform's Glossary
Channels
Channels Introduction
Adding a Telegram channel
Adding a Web channel
Creating a Script to use the Web Channel
Adding Viber channel
Adding a Facebook Channel
Adding a Twitter channel
How a SMS Integration Works
WebSocket Connection
Contacts and Messages
Contacts Introduction
Contact's messages
Select a Message to Schedule for Later
Adding Media to the message
Contact Fields
Static and Dynamic Groups
Importing Contacts
Flows
Flows introduction
Flows Creation
Flow editor and tools
Action cards
Decision cards
Call Webhook: Making requests to external services
Split by Intent: Using Classifiers
Import and export flows
Expressions and Variables
Triggers and Campaigns
Adding a trigger
Triggers Types
Tell a flow to ignore triggers and keywords
Campaign introduction
How to create a Campaign
Editing events
Bothub
- All Categories
- Bothub
- Inbox
- Inbox
Inbox
Updated
by raul.oliveira@ilhasoft.com.br
The most common needs when using your dataset to classify real data are:
- Analyze how your dataset is performing
- Improve your dataset with real data
BotHub has a very useful tool to achieve both: the Inbox 📥.
It's a feature that lists all the sentences that were predicted with its result, that you can filter by Intent, Language or Version of your dataset. Let me show you how to use it:
- Open your dataset page and expand the sidebar to see Inbox option
- Click on the sentence you want to see details about. You will see the intents and entities identified for each of them;
- You can see more details about each prediction, by clicking in Raw or Debug buttons at the right side;
- You can also add them to your training or testing data, just by selecting one or many. After that, just click on the icons on the top of the list and select one of the intents you want to add;
- Now you can train your dataset with real data! Use the filters to help you find sentences.

Now you can just explore the real predictions of your dataset and use it to improve!