Natural language processing (NLP) is an aspect of artificial intelligence that analyzes data to gain a greater understanding of natural human language1. NLP can affect a multitude of digital communications including email, online chats and messaging, social media posts, and more.

Some common applications of NLP are:

Autocorrect and Spell-check: NLP can help you correct your misspelled words or grammar errors in text messages, emails, or documents.
Text Classification: NLP can help you organize text data into categories based on topics, themes, genres, languages, etc. For example, NLP can help you filter spam emails, identify the genre of a book, or detect the language of a text.
Sentiment Analysis: NLP can help you analyze the emotions or opinions expressed in text or speech. For example, NLP can help you measure customer satisfaction, monitor social media sentiment, or detect hate speech.
Question Answering: NLP can help you provide answers to questions based on natural language input. For example, NLP can power chatbots, virtual assistants, or search engines that can respond to user queries.
Language Generation: NLP can help you create new text or speech based on natural language input. For example, NLP can help you write articles, captions, summaries, lyrics, code, etc. using tools like GPT-3.
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