We always aim to “educate” aspiring chatbot developers about the software challenges of building and running a good chatbot. Today we want to go a bit further and give you a behind-the-scenes look at all the languages, libraries and frameworks that must...
When parsing a user utterance, we need to identify the user intention (i.e. what the user wants) but also extract the parameters in the text that will be needed to answer the request. These parameters are called entities in the NLP world. And the process to extract...
My goal is to go over our new NLU intent classifier engine for chatbots to show how you can use it to: (obviously) Create your own chatbots (pairing it up with Xatkit or any other chatbot platform for all the front-end and behaviour processing components) Learn about...
The Xatkit family is proud to present its new baby: the Telegram connector! With our new Telegram support, you can now easily create Telegram bots in Java. And not just simple bots, bots that can benefit from all the features of Xatkit to add powerful NLP capabilities...
I’m sure you often get questions from your visitors and think “but this is already on the website!”. You then added a chatbot to your site to filter out the most common questions. But what about all the rest. Adding more and more questions to the bot...
Monitoring a bot’s behavior is almost as important as the initial creation of the bot itself. Every chatbot project should come with a clear monitoring plan to identify, for instance, frequent user utterances that the chatbot is unable to match. This is a...
