Chatbot Overview
Conversational Bots
Intents & Entities
Intelligent Bots's Approach Conversational Platform
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Natural Language Processing (NLP)
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Using the Dialog Builder Tool
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Creating a Bot
Dialog Task
Working with User Intent Node
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Amend Entity
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Sentiment Management
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  5. Bot Intelligence

Bot Intelligence

The best, most memorable bots have conversation flows that feel natural and human-like. Natural conversations, however, often tend to go beyond the predefined and linear intent resolution paths that seem inherent in most Bots. To further complicate this, users often fail to follow a task to its logical conclusion before initiating another, which means that the bot must be able to guide the conversation in the new direction the user wants to go to achieve the desired result – without losing the original context of the conversation.

The Bots Platform empowers your bots to handle virtually all nuances related to human conversations, including interruptions, clarifications, and more. Plus, you get complete control in defining the dialog turn and context switching experience for users.

Dialog Management

  • Handling of interruptions and context switching – The platform provides you with granular control over hold and resume functionality at the bot, task, and node levels. more…
  • Allowing users to modify entity values – Very often users would want to amend the entity values, you can ensure that the Bot responds to such situations and control the post-amendment dialog behavior. more…
  • Enabling the detection of multiple intents – Ability of the NLP engine can be enhanced to detect and execute multiple intents identified in a single user utterance. more…
  • Ignoring some words from user utterance –  When words and phrases in user input that are not helpful in task interpretation are marked, then Bots can respond faster to user input and improve the probability of correct task recognition.  more…

Context Management

Bots are inherently stateless, but conversations between people can differ greatly based on their relationship and how much they know about each other. Because of this, as a chatbot developer, you struggle to keep track of different variables while maintaining the context and natural flow of a conversation. allows you to capture and reuse contextual data for a large variety of scenarios, so you can create more complex use cases and redefine the enterprise customer experience.

  • The platform handles virtually all complex and diverse content switching scenarios in an effective and efficient manner. You can enable or disable context switches and add conditional exceptions between tasks with the ability to pass contextual data between them. More…
  • When you create tasks, you can access session variables provided by the platform, or custom variables that you define, as well as the context that defines the scope of the variable. More…

Sentiment Management

Trigger conditional flows and steer user-bot conversations with sentiment analysis and tone processing. Bots built with analyze the emotional state of users and callers and model their response to provide excellent service.