Natural Language Processing Methods

Natural Language Processing (NLP) is a field of artificial intelligence that focuses on the interaction between computers and humans through natural language. This section outlines some of the key methods used in NLP.

Common NLP Methods

• Tokenization: The process of breaking text down into words, phrases, symbols, or other meaningful elements called tokens.
• Part-of-Speech Tagging: Assigning parts of speech to each word in a text, such as noun, verb, adjective, etc.
• Named Entity Recognition (NER): Identifying and classifying named entities in text, such as person names, organizations, locations, etc.
• Sentiment Analysis: Determining the sentiment expressed in a piece of text, such as positive, negative, or neutral.
• Machine Translation: Translating text from one language to another using computational methods.
• Text Classification: Categorizing text into predefined classes based on its content.

Useful Resources

For further reading on NLP methods, we recommend visiting our NLP Tutorials.

NLP Workflow