The natural process starts with an open-ended question or phrase from the user. The chatbot feeds the phrase to the NLP engine , processes the sentence or question , and generates an interpretation . There are two ecuador whatsapp number data 5 million types of interpretations:
High : Found a match that would take you to the next part of the conversation flow
Low : did not understand what the user wanted to say and subsequently requested a new response.
Regardless of the interaction, NLP is constantly feeding back to improve its prediction model.
Beyond words
To better understand the user and improve the conversational experience, every chatbot with NLP requires training fed by an engine of the most popular phrases and sentences, and automatic and semi-automatic updates are periodically made based on the improvements obtained in the learning process.
In NLP, it is not enough to understand the individual meaning of a word , but rather the set of words in a sentence and in turn in a paragraph, in order to generate an accurate conclusion of what the text is expressing. A single language has millions of idioms, ambiguities and cultural expressions with diverse meanings that make this task an incredible challenge to master.
