This is the first part of a series of Natural Language Processing tutorials for beginners. Next post gives an introduction to NLP workflows.
Introduction:
Nowadays, language is getting a lot of importance due to the recent boom of the so-called chatbots or conversational agents in several industries. But, as it happens with other fields of human knowledge, the study of natural language has a long past and these agents are not the first important application. Having a deep understanding of language is very important since we use it everyday in different scenarios and with different behaviors.
This series of tutorials have the purpose of serving as an introduction to the amazing field of study that constitutes Natural Language Processing.
What is NLP / ML / DL?
Appart from an approach to communication, personal development, and psychotherapy (Neuro Linguistic Programming), NLP stands for Natural Language Processing, which is defined as the application of computational techniques to the analysis and synthesis of natural language and speech. In other words: the use of different techniques from computer science (algorithms) to understand and manipulate human language and speech.
