Natural Language Processing (NLP) Tutorials

Natural Language Processing (NLP) is a branch of artificial intelligence that deals with the interaction between computers and humans through natural language. It involves understanding, interpreting, and generating human language in a way that is both meaningful and useful.

Basics of NLP

• Tokenization: Splitting text into words, sentences, or other meaningful elements.
• Part-of-Speech Tagging: Labeling words with their grammatical properties, such as nouns, verbs, or adjectives.
• Named Entity Recognition: Identifying and classifying named entities in text, such as people, organizations, or locations.

Common NLP Tasks

• Text Classification: Categorizing text into predefined categories, such as sentiment analysis.
• Machine Translation: Translating text from one language to another.
• Summarization: Generating a concise summary of a longer text.

Resources

For further reading, check out our Deep Learning for Natural Language Processing tutorial.

Natural Language Processing