Looking at how people text – Assist Blog

In this nascent automated messaging space, we think that one sentence booking is the holy grail of efficiency, spending hours and hours trying to understand the sentence structure and identify values which will make your query successful. Leveraging natural language processing (N.L.P.) to be able to identify the city, the check-in and check-out date is what everyone working on. While I believe that understanding a full sentence lays the foundation of understanding, the way people interact with a bot can vary from one full sentence to groups of snippets, rectifying typos or even changing their mind. The way most bots are built is to process every input to trigger another question or action within the same experience. If you are a conversational developer, you are probably familiar with how a message is received from the user, processed and sent back.