Natural Language Processing (NLP) is a field of artificial intelligence that focuses on the interaction between computers and human languages. It aims to read, decipher, understand, and make sense of human languages in a valuable way.

What is NLP Used For?

NLP has a wide range of applications, including:

  • Chatbots and Virtual Assistants: Enhancing customer service experiences.
  • Sentiment Analysis: Understanding customer opinions and feedback.
  • Machine Translation: Translating text from one language to another.
  • Information Extraction: Extracting useful information from unstructured text data.
  • Voice Recognition: Converting spoken words into written text.

NLP Techniques

Here are some of the key techniques used in NLP:

  • Tokenization: Breaking text into words or tokens.
  • Part-of-Speech Tagging: Labeling words with their grammatical roles.
  • Named Entity Recognition: Identifying and classifying named entities in text.
  • Sentiment Analysis: Determining the sentiment of a text.
  • Machine Translation: Translating text from one language to another.

Learn More

If you're interested in learning more about NLP, we recommend checking out our NLP Courses.

Resources

  • Natural Language Toolkit (NLTK): A leading platform for building Python programs to work with human language data.
  • spaCy: An industrial-strength natural language processing library for Python.
  • TensorFlow: An open-source machine learning framework for everyone.

NLP Example