Stella Platform Documentation

Stella Platform Documentation

  • Docs
  • Procedures
  • Reference
  • FAQ
  • Bot API
  • API
  • Languages iconEnglish
    • 中文

›NLP Chatbot Setup

Get Started

  • Build your First Chatbot

Basic Facebook Chatbot Setup

  • Overview
  • 1.1: Connect to Channels
  • 1.2: Create New Tree
  • 1.3: Build the First Node
  • 1.4: Create a Global Node
  • 1.5: Build Child Nodes
  • 2.1: Production Channel
  • 3.1: Draft a Post
  • 3.2: Create Comment Reply

Basic Instagram Chatbot Setup

  • Overview
  • 1.1: Connect to Channels
  • 1.2: Create New Tree
  • 1.3: Build the First Node
  • 1.4: Create Global Node
  • 1.5: Build Child Nodes
  • 2.1: Create Story Mention
  • 2.2: Create Comment Reply
  • 2.3: Send Push Message

Basic Web Chat Chatbot Setup

  • Overview
  • 1.1: Connect to Channels
  • 1.2: Create New Tree
  • 1.3: Build the First Node
  • 1.4: Create a Global Node
  • 1.5: Build Child Nodes

Basic WhatsApp Chatbot Setup

  • Overview
  • 1.1: WABA Subscription
  • 1.2: Connect WABA
  • 1.3: Check Approval Status of WABA
  • 1.4: Setup WABA with Used WhatsApp Number
  • 1.5: Reset / Terminate WABA
  • 2.1: Create New Tree
  • 2.2: Build the First Node
  • 2.3: Create a Global Node
  • 2.4: Build Child Nodes
  • 2.5: Connect to Datasource
  • 3.1: Create Priority Group
  • 4.1: Create Product Message

Common Use Case Application

  • Overview
  • 1.1: Apply Fail-Safe to Chatbot
  • 1.2: Apply Member Unsubscription Flow to Chatbot

Advanced Chatbot Application

  • Overview
  • Apply Datasource to Chatbot
  • Apply Payload Value to Chatbot
  • Apply API to Chatbot
  • Apply Custom Locale to Chatbot
  • Apply Opt-in Flow to Chatbot
  • Apply Agenda to Chatbot
  • Apply Stella API to Chatbot
  • Apply Web Event to Webchat Chatbot

Error Handling

  • Handle Errors for Chatbot

Stella Partner Portal Setup

  • Overview
  • 1.1: Partner Portal Setup
  • 1.2: New Customer Onboarding
  • 1.3: WABA Setup
  • 1.4: Check Approval Status of WABA
  • 1.5: Setup WABA with Used WhatsApp Number
  • 1.6: Reset / Terminate WABA

Template Tree

  • Overview
  • Create Template Tree
  • Manage Proxy Tree

Chatbot Testing & Deployment

  • Overview
  • Stage One - Tree Building
  • Stage Two - Testing Stage
  • Stage Three - Production Deployment

Slack Live Chat Tree Setup

  • Overview
  • 1.1: Create Tree for Live Chat Assignment
  • 2.1: Set Up Pick Ticket Status
  • 2.2: Create Done Command
  • 2.3: Create Transfer Command
  • 2.4: Create Archive Function
  • 2.5: Create Member Tagging/Remarks Command
  • 3.1: Automatic End Live Chat Function

Zendesk Live Chat Tree Setup

  • Overview
  • 1.1: Create Tree for Assignment
  • 2.1: Create Done Command
  • 2.2: Auto End Live Chat Function

FAQ Chatbot Setup

  • Overview
  • 1.1: Exact Keyword Match
  • 1.2: Keyword Groups Match & Diversion
  • 2.1: Redirect to Existing Chatbot Tree
  • 2.2: Data Analytics for FAQ Chatbot
  • 2.3: NLP for FAQ Chatbot
  • 3.1: Filtering Questions for FAQ Chatbot

NLP Chatbot Setup

  • Overview
  • 1.1: Apply NLP to your Chatbot
  • 2.1: Set Up an NLP Fallback Tree
  • 3.1: NLP Fallback to Other Languages

Connect Shopify Store to Stella

  • Overview
  • 1.1: Integrate Stella to Shopify
  • 2.1: Setup Facebook Messenger Chatbot for Shopify
  • 2.2: Setup WhatsApp Chatbot for Shopify
  • 2.3: WhatsApp Customer Care Notification for Shopify

Stella Inbox Setup

  • Overview
  • 1.1: Connect Channel to Slack
  • 1.2: Access Control & Admin Panel
  • 1.3: Set up Customizable Message
  • 1.4: Inbox Channel
  • 2.1: Turn on Live Chat Directly
  • 2.2: End Live Chat Mode
  • 2.3: Ticketing
  • 2.4: Manage Ticket Helper
  • 2.5: Add Member Tag
  • 3.1: Send Chatbot Message

Set Up an NLP Fallback Tree

In this section, you will be able to build an NLP fallback mechanism to your chatbot trees. The concept behind the mechanism is quite simple - to utilise all your trained intents in the NLP engine to analyze a user input.

What is your result?

With the NLP fallback mechanism, the chatbot will still be able to reply appropriately even though the user is not following the flow to reply the chatbot.

NLP Fallback Example

Sample Tree Structure

NLP Sample Fallback Tree Structure

Getting Hands-on

Create Tree Nodes with All Intents

  1. Create a new tree and name it as "Sample Fallback Tree" for the fallback mechnism.

  2. Repeat Step 2 to 8 of NLP standard procedure level one until you have created the Tree Nodes with all the intents in your trained agent/app.

Create a Fallback Global Node

  1. Create a Global Node and name it as "Global Fallback Trigger". This is for capturing any text from user input and passing to the "NLP Integration" Tree Node in the fallback tree for analyzing.

  2. Set the priority lower than any Tree Nodes in your conversation flow (i.e. 1000).

Priority Setting
The higher the value, the lower the priority.
  1. Set a pre-defined "Any Text" trigger.

  2. Toggle on "Redirect" to the "NLP Integration" Tree Node in the fallback tree.

Trigger & Redirect Settings
  1. Add the Fallback Global Node to your channel.

  2. Check and see if you can produce the expected outcome.

← 1.1: Apply NLP to your Chatbot3.1: NLP Fallback to Other Languages →
  • What is your result?
  • Sample Tree Structure
  • Getting Hands-on
    • Create Tree Nodes with All Intents
    • Create a Fallback Global Node
Stella Platform Documentation
Docs
Get StartedBot API ReferenceAPI ReferenceStandard Procedures
Community
FAQUser ShowcaseChat with Us
Copyright © 2023 Sanuker Inc. Limited