Welcome to our tutorials section on Natural Language Processing (NLP). NLP is a field of artificial intelligence that focuses on the interaction between computers and humans through the use of natural language. This guide will provide you with an overview of NLP and point you to resources to deepen your understanding.

What is NLP?

Natural Language Processing is a subfield of linguistics, computer science, and artificial intelligence concerned with the interactions between computers and human (natural) languages. As such, NLP is related to the area of human-computer interaction.

Key Concepts

  • Tokenization: The process of breaking up text into words, phrases, symbols, or other meaningful elements called tokens.
  • Part-of-Speech Tagging: The process of marking up a word in a text (corpus) as corresponding to a particular part of speech (e.g., noun, verb, adjective, etc.).
  • Named Entity Recognition (NER): The task of identifying entities (such as names of persons, organizations, locations, medical codes, time expressions, quantities, monetary values, percentages, etc.) mentioned in a piece of text.
  • Sentiment Analysis: The use of text analysis, sentiment analysis, and natural language processing to systematically identify, extract, quantify, and study affective states and subjective information.

Tutorials

Introduction to NLP

This tutorial will give you a foundational understanding of NLP and its applications. Read more

Machine Learning for NLP

Learn how to apply machine learning techniques to NLP tasks. Read more

Deep Learning in NLP

Explore the use of deep learning in NLP with this comprehensive tutorial. Read more

Useful Resources

  • NLTK - The Natural Language Toolkit is a leading platform for building Python programs to work with human language data.
  • spaCy - An industrial-strength natural language processing library that is easy to use and extend.

Conclusion

NLP is a rapidly growing field with a wide range of applications. By following these tutorials and exploring the resources provided, you will be well on your way to mastering the basics of NLP.


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