Chatbots engage with online visitors by communicating with them in their natural language. NLP-driven chatbot understands the query written in natural language and addresses them immediately.
As per a recent report by Reports and Data,” Chatbot Market Forecast to 2030,” by 2030, the global chatbot market size is anticipated to grow to USD 22.9 Billion at a CAGR of 25.4%. NLP platforms help build a chatbot to understand user queries without human assistance.
Here are a few NLP platforms for Chatbot development.
IntelliTicks
IntelliTicks is an AI Conversational platform. It uses NLP to address redundant customer queries without human interpreters. Its end-to-end automation enables the chatbot to engage with the visitor.
Moreover, the AI-driven Chatbot comes with human fallback support. It moves the conversation control to a human agent when the chatbot fails to address a complex query.
The platform allows businesses to design custom chatbots as per their needs. It also allows them to set up the conversational flow. It offers deeper API integrations with payment-in-chat and menu-in-chat options.
It comes with a drag-and-drop feature and an effective analytics dashboard. It offers many deployment environments like mobile, landing pages, and websites. At the same time, it complies with GDPR.
Dialogflow
Google’s Dialogflow is an AI chatbot software used to engage online visitors. The NLP-based chatbot handles automated conversations. Moreover, developers can use software for AI-based text and voice chatbots. It is multi-lingual, comes with an in-line code editor, and offers cross-platform support.
The tool integrates Google’s machine learning expertise and products like Google Cloud Speech-to-Text. It runs on the Google Cloud Platform, allowing businesses to scale many users. It lets companies customize channel-specific answers. It also helps build history and analytics based on the user’s conversations.
Businesses can create custom dashboards for analytics with Big-query and data-studio. It offers a test interface with the utterance, action, contexts, intent, engine response values, and JSON streams.
Kore.AI
Kore.AI is a conversational AI-powered bot platform. Developers can use it for designing, creating, training, and testing. It offers a pre-built integration and authentication with systems of records.
It offers businesses complete control over speech engine compliance, audibility, and training. It supports IP Phones, wearables, and many speech-enabled gadgets. It provides workforce collaboration tools. The tools include Skype, Cisco Spark, Slack, Workplace, and Microsoft Teams.
Haptik
Haptik is a conversational Al platform with state-of-the-art algorithms to add intelligence to the bots. The simple tool designs builds, and maintains chatbots. It offers an analytics dashboard to view reports on chat metrics.
It integrates with pre-existing or custom CRM systems. The chatbot is multi-lingual and offers live chat support.
Wit.AI
Wit.AI allows developers to build applications and devices to which users can talk or text. Wit.AI learns human language from every interaction. It supports over 50 languages, text, and voice. It also complies with GDPR.
Intents, entities, and validated expressions are accessible to the community when the app opens. Even non-developers can configure it. Moreover, it supports mobile wearables and wearable devices.
Rasa
Rasa platform is an open-source framework. It helps developers create better chatbots with minimal training data. Rasa has two components Rasa NLU and Rasa Core. The latter helps create intelligent and conversational chatbots.
It is ideal for businesses that want to increase subscriber engagement. It is suitable for marketing automation and personalization. Rasa allows developers to deploy it on their server by retaining the component in-house.
Moreover, the tool is customizable and supports many environments essential for staging, development, and production. Businesses can seamlessly integrate it with Twilio, Telegram, and Facebook Messenger.
Spacy
Spacy is an open-source NLP library that helps businesses build real-world projects and handle vast text data. The software is ideal for companies that need industry-level solutions and language support.
It eases deep data mining and can analyze texts rapidly. It helps businesses to implement strategies to interact with customers. It comprises a deep learning algorithm with the tools. These tools allow companies to teach the human language to the programs.
Microsoft Azure
Microsoft Azure lets developers deploy and build a chatbot seamlessly. It is a managed bot-building platform with an integrated environment. It easily integrates with various Azure services. It enables developers to create, connect, and manage intelligent bots from a single point.
Amazon Lex
Amazon Lex helps businesses create and engage chatbots with the applications. It secures the companies from NLU complexities and speech recognition. Amazon Lex’s capabilities are simple. It allows businesses to scale up to a fully operational chatbot.
Developers can use aliases and versioning to run the conversational interfaces into many environments. Moreover, it offers all the vital features required to build, scale, deploy and check the chatbot.
IBM Watson Assistant
IBM Watson Assistant addresses customer and employee challenges. It allows businesses to create a chatbot that handles queries. The chatbot can integrate with phones and SMS. It enables companies to deploy speech services with natural voices created with advanced AI.
It understands the customer’s queries without requesting them to rephrase the question. Additionally, Watson’s Assistant is designed as an open ecosystem. It allows businesses to connect with the current tools, applications, and systems.
More importantly, it offers businesses the ability to orchestrate end-to-end experience. It lets companies scale the virtual assistant beyond simple FAQ bots. They can completely customize to align the chatbot with the business needs.
Microsoft Luis
Microsoft Luis is a chatbot API by Microsoft. It supports voice and text messages and has an Active Learning Technology feature. Luis uses NLP to filter the valuable information or text from sentences. It has many pre-built apps, like calendars, that businesses can deploy to the custom chatbot.
It supports SDKs of the programming languages like C#, Python, Node JS, and Android SDK. It supports social networks for API integration. Some social networking platforms are Facebook, Slack, Telegram, Microsoft Skype, and WeChat.
LUIS chatbot API supports English, French, Italian, German, Spanish, Korean, and Chinese. The Bot Framework integrates Luis with Microsoft Azure and third-party party messengers.
Also Read: Best ChatBot Builders Businesses Must Know About
Conclusion
NLP platforms help companies get insights from unstructured text data like emails and social media posts. An NLP-based chatbot can understand natural language queries and immediately resolve them.
NLP makes chatbots effective in conversing easily without human assistance. Businesses must ensure they have the right tools for creating a conversational chatbot. They must select an NLP platform that is easier for non-developers to use.
Moreover, it must allow businesses to customize and refine the chatbot. This way, employees can focus on high-value, strategic, and engaging work.
