A chatbot is an application that can get your place when you are unavailable. It is beneficial to engage your customers even when you could never think to maintain fluent communication with people. There are several chatbot platforms used by multiple businesses all around the world. Choosing a helpful and important chatbot framework completes more than 50% of your work if you want to have your chatbot. Recent developments in machine learning and AI modules have brought significant changes in chatbot’s features. Even now, we are often unable to identify any difference between a chatbot and human during the time of any conversation.

There has been an explosion in the use of chatbots across both business websites and messaging applications, mainly because businesses want to provide to their customers and customers have a lot of queries that need to be answered. Managing these queries is difficult and cannot be done on a 24/7 basis unless you have a rotating team. One way to cut down operation costs and still afford a personalized customer experience is with chatbots. So, when it comes to the numerous chatbot development frameworks, knowing which one is right for your business can be a bit of a problem. This is why we have gathered a list of the most popular chatbot development frameworks that can help you build intelligent, adaptable, and productive chatbots. Whichever platform you choose, you will get a chatbot that is cost-effective, scales as you grow, and provides a personalized customer experience.

Which Platforms Are The Best, flowing into 2020?

1.Microsoft Bot Framework – Build & Connect Intelligent Chatbots:

The Microsoft Bot Framework that is used around the world by developers looking to build secure, scalable, solutions that integrate with current information technology ecosystems. This chatbot framework is specially designed to interact, talk, listen and communicate with your customers. The idea behind it is to help enterprises extend or expand their brand without losing control over data ownership. It is a rich framework that allows developers to develop, publish, and manage their bots all in one place, as it comes with two major components. First, the platform offers channel connectors, allowing you to connect the chatbot to messaging channels, and second, it comes with SDKs for implementing business logic into your conversations. Pros include pre-built options, machine learning speech to text implementation, is multilingual, has technical computer support, and works in multiple computer languages. The one con is that you have to choose to develop your chatbot in C# or Node.js. The best part of this AI chatbot platform is the ability to integrate with popular messaging applications like Facebook, Messenger, Slack, Skype, Cortana, office 365, and even websites.

Features granted by this framework

• Can aim chatbots using the existing conversation and cognitive service.

• Open-source SDK allows you to test your chatbot even before it is deployed into a channel.

• Understand people’s communication through text, SMS, video, and speech.

• Microsoft permits you to integrate this chatbot with many applications that include skype, slack, Facebook messenger, twitter, mail, etc.

• As powered by AI and machine learning, it can even reply to the most sophisticated questions asked by the visitors.

2.Wit.AI – An NLP That’s Free to Use

The Wit.ai chatbot development framework is free to use, even for commercial entities, is open-source, and leverages community-based input to better the platform. While it is under Facebook’s branding, it started as a Y Combinator Startup, which is an American seed accelerator company that invests funding into small companies. Due to the bot being open-source, over 200,000 developers have used it, allowing new developers to create chatbots with human-level interaction and knowledge. It concentrates on the applications, especially which are run on mobile screens or tiny devices by activating voice interface. A lot of time is saved this way as the basics of human conversations do not need to be taught. Pros include being open source, has an incredible natural language processing engine, offers SDKs for IOS, Python, Ruby, and Node.js, and supports over 80 languages. Plus, due to it being owned by Facebook, it is easily deployable on Facebook Messenger. The scam with it is that some developers find that missing parameters are hard to retrieve. It can be integrated into any application, any website, Facebook Messenger, into home automation systems, into wearable devices and Slack.

Features granted by this Chatbot framework

• Supports almost any languages spoken all over the world and uses multiple Machine learning algorithms to extract essential information.

• Shares data between developers and help them to integrate the features on their applications and ensures that your data remains safe, private, and secure.

• Enhanced the abilities of the wearable devices that have tiny screens. Users can interact with their devices through voice command.

• Home automation has seen the light of hope after the arrival of Wit.ai. Many opportunities and possibilities could never be imagined before.

• Learns from human language when any interaction takes place.

3.DialogFlow – For Conversational Bots

The Dialog Flow chatbot development framework is designed specifically around conversations, allowing developers to create highly intelligent chatbots and voice applications that can understand the nuances of language. To develop its voice navigating features, google has worked to develop its chatbot framework known as Dialog flow. Over time, these chatbots continue to improve because they are supported by Google’s Cloud Natural Language, making it very easy for developers to train the chatbot to understand the finer details of human conversations. Yes, this includes human emotions and their connecting sentiments. It uses Speech-to-text and natural language conversations to function an automated human-computer interaction. With DialogFlow being a subsidiary of Google, it is built on Google’s infrastructure, allowing you to scale to millions of users and build actions for more than 400 million Google Assistant devices. Pros include the framework supporting voice and text-based assistants, is easy to learn from a development standpoint, provides rich conversations, has SDKs for 14 platforms, supports 20+ languages, has an in-line editor, provides sentiment analysis, and can even be programmed to carry out jokes, event searches, and payment handling. It has IoT integration for home automation as well. The con is that programmers do not have access to control over dialogue processing. It can integrate with Google Assistant, Facebook Messenger, Cortana, Kik, Skype, Telegram, Viber, Alexa, Slack and more.

Features granted by this framework

• Dialogflow has enabled developers to integrate voice interaction features into their applications.

• It uses Google cloud architecture and AI-powered sophisticated systems to convert speech into text.

• Google uses its years of experience of sourcing data to understand what users are saying and respond accordingly.

• As the Inline code editor makes it easy, now anyone can integrate multi-functional intelligent chatbot on their social media networks and websites.

• Intended to digitize the business process. Saves your time and helps you to save money for hiring expert community managers.

4.IBM Watson – Perfect for Internal Use

The IBM Watson chatbot development framework is industry-leading, well-known, and one of the best platforms to use if you want to develop a retail, banking, Slack, or voice-enabled Android chatbot. The platform comes with pre-configured content for customer care, banking, eCommerce, and utility content, making it extremely flexible. This chatbot framework uses the neural network to respond with naturally processed replies. It is built on a neural network that is comprised of one billion words from Wikipedia and it uses machine learning to respond naturally to human queries. Pros include a highly advanced machine learning engine, automated predictive analysis, a Watson GUI for non-technical users, development can be stored on a private cloud, it comes with visual recognition security, supports 10 languages and has a built-in translator, and comes with a tone analyzer for understanding negative and positive responses. The trick is that it can be a bit confusing to use if you are looking to create a very simple, non-AI powered chatbot, due to the number of tools available on the platform. It can integrate with WordPress websites, Intercom, Slack, and Facebook Messenger.

Features granted by this framework

• Takes patient's data and uses the power of natural language processing to recognize potential diseases.

• It assists doctors to prescribe accurate treatments and medicines.

• Intended to work as a question-answering system. It is now also used to retrieve information and influential data.

• Uses dynamic dialogue flows and intelligent q/a system to automate chatbots and maintain interactions with users.

• Watson offers pre-trained and pre-integrated architecture so that you can accelerate the deployment and train with your business.

5. WordPress – A Module Based Option

The WordPress chatbot development framework takes quite a different approach in that it doesn’t require developers to implement their dialogue manager, channels, or natural language understanding process because it comes with them all. This platform was built by developers as an open-source option with a user-interface so that non-technical individuals can manage the chatbots after they are deployed. It works on a module system which makes it fully customizable, and comes with a conversational flow management system, an NLU, actionable analytics, and authoring UI, and is multichannel. It can integrate with platforms like Skype, Telegram, Twilio, BotFrameWork, Webchat, Facebook Messenger, and SMS.

Features granted by this chatbot framework

• Try to find the intended reason and meaning behind a specific question asked by a user to generate the answers using NLP.

• Offers a flexible flow management system to build and manage your chatbot.

• Graphical representation of the detailed analytics enables users to see the insight of every conversation.

• You can integrate this platform with any third-party applications and customize the SDK as many times as you want.

• Provides the ability to test your bot using the cutting edge technology offered by AI and machine learning and grow your business for meeting the business objectives.

6.Rasa Stack – A Python-based Platform

The Rasa Stack framework is for developers, companies, and businesses that require contextual-based chatbots that can answer, understand, and execute on contextual circumstances. This platform is used widely in large companies within the banking sector, the sports industry, with job recruitment, and healthcare providers. Rasa is an open-source, automated text, and voice assistants, and is made up of two major components. The first is the Rasa NLU which is their natural language processing engine, and the second is the Rasa Core, which uses intents and entities to understand queries. The pros of Rasa Stack are that it can manage contextual dialogues, can recognize intent, provides full data control, and allows you to create custom models. It can be integrated with Rocket. Chat, Slack, Twilio, Facebook Messenger, and Telegram.

7.ChatterBot – Based on Adaptability

If you are looking for a chatbot that can be trained in any desired language, Chatterbot is a fantastic option. It is powered by Node.js and works by creating a Python library. While this chatbot will start with no knowledge of how to communicate and with every human query, the chatbot saves the text that was entered and the text that the statement was issued for. The more input there is, the more accurate each response becomes as the chatbot learns how to communicate. Essentially, the chatbot will always choose the closest matching response by searching for the closest matching statement within its library and then returns the most likely response based on the statement. Or in short, learns to communicate based on a collection of conversations in combination with machine learning. This is a good option for developers that need a bot to adapt based on conversation and continuous learning.

Features granted by this framework

• This chatbot gets better over time as this platform is language independent and can learn any language.

• Each time the chatbot interacts with a customer, this platform uses the machine learning algorithms to gain knowledge and improve its performance of producing replies.

• Using improved techniques of AI, it can even generate random but accurate answers for the same type of question.

• It stores data, manipulates data, and then searches the closest statement that matches the question pattern while stimulating responses.

• Produces sophisticated and dynamic chatbots that perform much better when it comes to business.

8.Amazon Lex

The Amazon Lex chatbot development platform is a part of the Amazon Web Services and comes with sophisticated bot-building tools. Like a few other platforms, it comes with built-in natural language understanding, machine learning, and numerous SDKs for different platforms. You can say that Amazon Lex is a branch of Alexa’s tech. It is a service for building conversational interfaces into any application using voice & text. To build a bot on Lex, you need to specify an ‘Intent’ – an action that the user wants to perform. For instance, dentists can build a bot to ‘Schedule Appointment’. It allows the developer to input automated speech recognition that can be converted into text, can integrate with other Amazon Web Services and is free to use. Unfortunately, it is only available in American English at this time. While all of these chatbot development platforms have their use-cases, it is important to note that the first few that you try may not be the right fit, as you will need to use one that best suits the kind of business that you have.