Natural Language Processing Explained with Simple Animations

Welcome to Natural Language Processing, where we teach computers to understand human language!At its core, NLP transforms computer language into something humans can understand, and vice versa.Inside the computer, complex processors work to analyze and understand human language.The computer breaks down language processing into several key steps.One fundamental concept is tokenization, where we break sentences into individual words or tokens.Watch as the computer separates each word for processing.The computer then analyzes each word, understanding its meaning and relationship to other words.This basic understanding of words and their relationships forms the foundation of Natural Language Processing.Sentiment analysis determines the emotional tone of text by assigning numerical scores.Positive statements receive high scores, while negative ones get low scores.Neutral statements receive scores close to zero.Named Entity Recognition identifies and classifies key elements in text, such as names, places, and dates.Time expressions are highlighted in blue.Person names are marked in green.Locations appear in red, titles in purple, and organizations in yellow.Part of Speech tagging identifies the grammatical role of each word in a sentence.Different colors represent different parts of speech: blue for determiners, green for adjectives, yellow for nouns, purple for adverbs, and red for verbs.First, let's see how NLP powers smartphone autocomplete features.Virtual assistants convert voice commands into text, then into actions.