When we are running a search, we want to find relevant results not only for the exact expression we typed on the search bar, but also for the other possible forms of the words we used. For example, it’s very likely we will want to see results containing the form “skirt” if we have typed “skirts” in the search bar.
Predictive Analytics Today is one of the must-read sites when it comes to provide review, comparison, research, commentary and analysis of enterprise software. It helps IT decision makers to identify the appropriate technology that fulfills their needs. The site has over 400,000 monthly users, and over 36,000 newsletter subscribers.
The explosion of Artificial Intelligence over the last year has generated an increasing interest in Natural Language Understanding (NLU) technologies to build systems capable of interacting with the end customers in their own language in a really “natural” way. In the last months, we have seen many user interfaces turn into conversational chatbots that can be controlled or interacted using natural language.
Talking, expressing ourselves through words, using speech to exchange information is something that comes natural to humans. Then why don’t we just talk with goods and service providers on the internet, instead of using all kinds of user interfaces, buttons and drop-down lists? Could be, that our technology, in general, is just not up to the task yet? If our bot development goal is to create a human-like chatbot that people would really enjoy using, it might be helpful to have these keys in mind: