Google Dialogflow Tutorial

What is Dialogflow?

Dialogflow is a Google service which runs on Google Cloud Platform. It is a modern and user-friendly tool that uses Google Cloud Speech-to-Text and other machine learning capabilities. Dialogflow is an NLP (Natural Language Processing) platform that is used to build an application related to the interactions and experiences that the company provides to its clients across several platforms and languages. For the most part, Dialogflow is used to build actions for Google Assistant devices.

Why Learn Dialogflow?

Learning Google Dialogflow helps you build chat-bots that can interact with humans. It is simple to use and allows the bot to better understand requests. You can use it with Google Assistant and link it to a number of platforms. It is useful for customer service and can handle a variety of languages.

Dialogflow Use Cases

Dialogflow can be used for a wide range of applications −

• Enterprise Productivity: We can use Dialogflow to increase enterprise productivity. Using conversational features in workplace apps allows employees to quickly get important company information and increase productivity like offering sales with knowledge about local possibilities.

• Commerce: Dialogflow is used in business. Transactions with users can be carried out at any time with Dialogflow on any platform chosen by the user. Dialogflow gives a self-service experience for users who want rich and personalized solutions while purchasing goods or booking delivery.

• Customer Support: Dialogflow allows us to build conversational interfaces capable of doing a variety of tasks like booking appointments, replying to general requests, following up on prior orders and more.

• IoT Devices: Dialogflow is also used in Internet of Things applications. With the conversational interface we can make our IoT devices smarter. Dialogflow adds intelligence to smart devices helping them to understand and respond properly to the context of an activity of the users.

Dialogflow Features

There are many features of the Dialogflow you can check before working with it −

Easily Create Server-less Applications

With the usage of Dialogflow you can build server-less chat-bots and voice apps which do not need special server setups. It connects to cloud services which makes it easy to manage. So it saves time and reduces technical work.

Provide Automated Phone Service

Dialogflow can create virtual phone operators to handle calls. These bots can answer queries from customers and fix problems without human intervention. It enables companies to better automate their phone services.

Designed for the Voice-first Society

Dialogflow has been created to simplify speech interactions in a world where voice commands are common. You can create applications for smart devices like Google Assistant and Alexa. This allows organizations to offer voice-based user experiences.

Reply to Computerized Spelling Correction

Dialogflow examines user input which has errors or spelling issues. It is capable of exact translation and response. This improves the chatbot's performance and usefulness.

Enhance your Experience with Integrated Analytics

Dialogflow's built-in analytics allow you to see how well your chat-bot or speech app is functioning. It allows you to track user patterns and modify the bot's responses. Real data allows you to make more familiar decisions.

Understand the Opinions of Users

Dialogflow examines user inputs to figure out if they are happy, frustrated or neutral. This improves customer service and creates a better overall experience.

Deploy Across Platforms and Languages

Dialogflow lets you create chat-bots that run across several platforms, including websites, Facebook Messenger and Slack. It also supports many languages so you can reach a global audience.

Bring your Business Knowledge

You can teach Dialogflow about your business by creating customized intents and knowledge bases. This enables the chat-bot to provide correct information about your products or services.

Powered by Google Machine Learning

Dialogflow identifies and processes user communications using advanced machine learning technology of Google. This makes chat-bots intelligent and able to do more difficult tasks.

Advantages of Dialogflow

Here are some advantages that Dialogflow provides −

• Sentiment Analysis: Dialogflow can perform sentiment analysis on the user's queries.

• User-friendly: Dialogflow is a user-friendly tool with a server-less application structure and an integrated code editor.

• Incorporates Google Features: Dialogflow combines numerous Google capabilities like speech to text and machine learning.

• Faster and More Efficient Coding: Dialogflow makes the development process easier which saves developer time. The system comes with an integrated code editor that allows developers to quickly finish all coding-related activities. This makes it possible for their agents to connect to their application via cloud features or on-premises.

• Capable of Expressing via Natural Language: A helpful tool for building chat-bots is Dialogflow. Also the chat-bots can have a conversation that seems natural. It basically means that when users ask for help or support they will usually get responses that are relevant to their needs even if they speak to computers or application programs. When chatting with a chatbot you will not feel that you are speaking with a machine or robot.

Why Choose Dialogflow?

There are a few reasons for selecting Dialogflow −

• Multi-channel Easy Integration: The Dialogflow provides you with one-click integrations for a number of voice assistants like Microsoft Cortana, Amazon Alexa and Google Assistant, as well as for many popular messaging apps like Facebook Messenger, Twitter, Skype, Kik, Viber, Facebook Messenger, Telegram and Slack.

• Cost: If all you want to do is learn how to build a chatbot you can also use Dialogflow's free version.

• Natural Language Processing: The Dialogflow gives an excellent user experience as it makes use of the idea of NLP (Natural Language Processing). The Dialogflow agents have excellent NLP skills.

Who Should Learn Dialogflow?

Dialogflow can be used by many people −

• It can be used by developers to build speech apps and chat-bots.

• Companies use it to respond to customer queries.

• It allows support team to respond to inquiries at all hours of the day.

• Retailers use it to interact with customers on websites and social media networks.

Prerequisites to Learn Dialogflow

To understand Dialogflow, you should have an understanding of −

• Using Dialogflow, you need a Google account in order to log in.

• A basic understanding of how apps and websites work.

• The ability to design simple dialogues or flows.

• Although not required, having some coding knowledge is helpful.

• A clear idea of what tasks you would like your chat-bot or voice application to carry out.

Frequently Asked Questions about Dialogflow

There are some very Frequently Asked Questions(FAQ) about Dialogflow, this section tries to answer them briefly.

What are the limitations of Dialogflow?

Here are some limitations of Dialogflow:

• It might not be able to handle really complex conversations.

• Without internet connectivity, it will not work.

• The capabilities and usage of the free version are restricted.

• Specialized code could be required for complex operations.

• It can be unable to differentiate between voices with different accents.

What is the duration of an active context?

The default lifespans for an active context are five conversational turns for conventional intents and two conversational turns for follow-up intents. The default lifespan can be altered for any case.

How can I give my agent a region?

A region needs to be specified as the location of the agent when it is created. Requests addressed to your agent are handled by Google services in this area. Selecting a location close to your end users and services is a good idea.

What algorithm does Dialogflow use?

Dialogflow uses two methods to match intents: rule-based language matching and machine learning matching. Dialogflow tries both methods simultaneously and chooses the best result.

What is the lifespan of Dialogflow?

Each active context has a lifespan that represents the number of conversational rounds it can last before it becomes inactive. The default lifespan is five conversational turns for standard intents and two conversational turns for follow-up intents. The default lifespan can be altered for any case.

How many types of entities are there in Dialogflow?

One of the following entity types can be used in your intents: Developer-created entity types are called custom entities. System entities: those that Dialogflow CX provides like numbers, colors, and dates. Dynamic entities with the capacity to expand along with user sessions are known as session entities.

Who created Dialogflow?

Dialogflow was founded in 2010 as an API by Ilya Gelfenbeyn, Artem Goncharuk and Pavel Sirotin.AI. Dialogflow which is a closed-source software that uses natural language processing (NLP) to create technologies for human computer interaction is currently owned by Google.

What programming language is used in Dialogflow?

The following languages are supported by Dialogflow with client libraries and guides: Go, C# and C++.

What model does Dialogflow use?

As Dialogflow has a state-based data model developers are able to reuse various components such as webhooks, entities and intents.

How many languages does Dialogflow support?

Dialogflow will allow fifty-five language variations for text chats starting in January 2022. After the agent has been created the default language cannot be changed.