Chatbot Overview
Conversational Bots
Intents & Entities
Intelligent Bots's Approach Conversational Platform
Bot Concepts and Terminology
Natural Language Processing (NLP)
Bot Types
Bot Tasks
Starting with Platform
How to Access Bot Builder
Working with Bot Builder
Building your first Bot
Getting Started with Building Bots
Using the Dialog Builder Tool
Creating a Simple Bot
Release Notes
Latest Updates
Older Releases
Bot Builder
Creating a Bot
Dialog Task
Working with User Intent Node
Working with the Dialog Node
Working with Entity Node
Supported Entity Types
Working with Composite Entities
Supported Time Zones
Supported Colors
Supported Company Names
Working with Message Nodes
Working with the Confirmation Nodes
Working with Service Node
Implementing Custom Authentication
Enabling 2-way SSL for Service nodes
Working with Script Node
Working with Agent Transfer Node
Working with WebHook Node
Defining Connections & Transitions
Managing Dialogs
Prompt Editor
Action & Information Task
Working with Action Tasks
Working with Information Tasks
Establishing Flows
Alert Tasks
Working with Alert Tasks
Managing Ignore Words and Field Memory
Knowledge Graph
Building Knowledge Graph
Generation of Knowledge Graph
Importing and Exporting Knowledge Graph
Knowledge Graph Analysis
Knowledge Extraction
Natural Language
Machine Learning
ML Model
Fundamental Meaning
Knowledge Graph Training
Ranking and Resolver
NLP Detection
NLP Settings and Guidelines
Bot Intelligence
Context Management
Session and Context Variables
Context Object
Dialog Management
Amend Entity
Multi-Intent Detection
Sentiment Management
Tone Analysis
Sentiment Management
Default Conversations
Default Standard Responses
Channel Enablement
Test & Debug
Talking to Bot
Utterance Testing
Batch Testing
Recording Conversations
Publishing your Bot
Analyzing your Bot
Custom Dashboard
Conversation Flows
Bot Metrics
Advanced Topics
Bot Authorization
Language Management
Collaborative Development
IVR Integration
Universal Bots
Enabling Languages
Smart Bots
Sample Bots
Travel Planning
Flight Search
Event Based Bot Actions
Bot Settings
Bot Functions
General Settings
PII Settings
Customizing Error Messages
Bot Management
Using Bot Variables
API Guide
API Overview
API List
API Collection
SDK Overview
SDK Security
SDK App Registration Web SDK Tutorial
Message Formatting and Templates
Mobile SDK Push Notification
Web Socket Connect & RTM
Using the BotKit SDK
Installing the BotKit SDK
BotKit SDK Configuration
Events for the BotKit SDK
Functions for the BotKit SDK
BotKit SDK Tutorial – Agent Transfer
BotKit SDK Tutorial – Flight Search Sample Bot
Using an External NLP Engine
Bot Administration
Bots Admin Console
User Management
Managing Users
Managing Groups
Managing Role
Bots Management
Inviting Users
Sending Bulk Invites to Enroll Users
Importing Users and User Data
Synchronizing Users from Active Directory
Security & Compliance
Using Single Sign-On
Cloud Connector
How Tos
Context Switching
Using Traits
Live Agent Transfer
Schedule a Smart Alert
Configure Agent Transfer
Custom Dashboard
Patterns for Intents & Entities
Build Knowledge Graph
  1. Home
  2. Docs
  3. Bots
  4. Natural Language
  5. Improving Bot Performance – NLP Optimization

Improving Bot Performance – NLP Optimization

A chatbot’s ability to consistently understand and interact with a user is dictated by the robustness of the Natural Language Processing (NLP) that powers the conversation.’s Platform uses a unique Natural Language Processing strategy, combining Fundamental Meaning and Machine Learning engines for maximum conversation accuracy with little upfront training. Bots built on’s Platform can understand and process multi-sentence messages, multiple intents, contextual references made by the user, patterns and idiomatic sentences, and more.

The NL engine includes recognition support for a wide range of entities and provides the tools needed to further customize your bot’s language understanding using additional patterns.

Optimizing your Bot for Natural Language Understanding

To make sure your Bot is NLP-optimized, you can define, and refine names and terms used for your bot to enhance the NLP interpreter accuracy and performance to recognize the right Bot task for the user.
You begin by defining synonyms at the task level, and then manage and refine synonyms, and test at the Bot level.

To get started optimizing your bot and bot tasks, you need to access the Natural Language options. These options are categorized under various headings for your convenience:

  • Training – In the Training section, you can define how the NLP interpreter recognizes and responds to the user input for a Bot, and then train the interpreter to recognize the correct user intent.
    • Machine Learning Utterances – With Machine Learning, you can enhance Bot recognition of user utterances for better recognition and system performance for the user intent, which is the intended task that the user wants to access.
    • Synonyms & Concepts – You can use the Synonyms section to optimize the NLP interpreter accuracy in recognizing the correct intent and entity provided by the user.
    • Patterns – In the Patterns section, you can define slang, metaphors, or other idiomatic expressions for intent and entities.
    • Thresholds & Configurations – Using this section, you can define the recognition confidence levels required for minimum recognition actions, the confidence range for asking a user to choose from a list of possible matches, and a recognition confidence level for a positive match for knowledge graph.
    • Modify additional settings like auto training setting for user utterances and negative intent patterns.
  • Intelligence – This section helps enhance the bot capabilities beyond its defined tasks. This section helps you guide the bot behavior in deviations and disruptions.
    • Manage Interruptions allows you to define how interruptions identified during ongoing task execution should be handled.
    • Amend Entity enables the user to amend requests and defines the bot behavior in such scenarios.
    • Configure bot to allow identification of multiple intents when present in the user utterance.
    • Modify additional advanced settings like subdomains, bot contact card, and identity requirements.
  • Default Conversations – This section allows one to defines responses to standard queries, bot events and when an intent is not understood.