Chat-Bot.
By: Omraj Kumar
Tags: Chatbots, Chatbot Development, Machine Learning, NLP, AI

“An Introduction to ChatBot.”

Chatbots are software tools that are use to simplify the interaction between humans and computers.

The Chatbot technology takes incoming speech or text, then looks for words it knows. It uses programming to settle on the best response.

Simple chatbots give answers from any organization's FAQ page. More advanced bots “go off script” with full AI interaction or machine learning technology.

Chatbots today aren’t so different from live agents. Think of it this way human support specialists can choose from a limited range of options, dictated by company policies and procedures. Chatbots work under the same guidelines, escalating tougher queries up the chain to human agents.

Uses for Chatbots.

The most forward-facing use of chatbots is to interact with customers. And many more like…

· Customer support

· Answer questions

· Book tickets

· Upsell and cross-sell

· Handle customer orders

· Make product suggestions

· Look for flights

There are the following chatbot benefits?

· Increase sales

· 24/7 access for your customers

· Work faster than live agents

· Scale up fast

· Time Saving

How Does A ChatBot work?

Chatbots are software applications that use artificial intelligence & natural language processing to understand what a human wants.

It is Use existing conversation data (if available) to understand the type of questions people ask.

And It is Analyze correct answers to those questions through a ‘training’ period.

It Use Machine learning & NLP to learn context and continually get better at answering those questions in the future.

There is the following type of chatbot.

· Rules-Based Chatbots — These chatbots follow pre-designed rules, often built using a graphical user interface where a bot builder will design paths using a decision tree.

· AI Chatbots — AI chatbots will automatically learn after an initial training period by a bot developer.

There are different ways to get chatbots to communicate with users. Flow-based and Intent-based.

Flow-based is one of the ‘unintelligent’ ways to get bots talking. The flow-based bot doesn’t need to rely on artificial intelligence. A flow-based chatbot is one that works by using a pre-defined (and reined in) conversational flow. In other words, they have their conversations already mapped out like a flowchart.

Intent-based chatbots work on a case-by-case basis. Each interaction plays out differently from the last. To offer this kind of scope, they need NLP This is an element in AI that allows machines to derive understanding from language as it is used in natural conversation

“Why use an intent-based bot?”

An intent-based chatbot offers several benefits in terms of the end-user experience.

· Natural conversation

The use of NLP means that users can talk to an intent-based chatbot in a similar way as they would a friend. They don’t need to provide specific terms or press buttons for the bot to understand them. This makes for a smoother and more engaging conversation experience.

· Flexible than other bots

Intent-based chatbots are less restricted than flow-based bots. It only follows a set conversation path. They can better adapt to a user changing their mind, for example. This means that they can more easily carry out a wider range of tasks and adapt to changing conversation topics.

“Implementation Steps for an intent-based bot.”

Define Intents.

Data Preparation.

Model Training.

Inference.