Natural Language Processing (NLP) is a field of artificial intelligence that focuses on the interaction between computers and humans through natural language. Here are some fundamental concepts:
- Tokenization: The process of breaking text into words, phrases, symbols, or other meaningful elements called tokens.
- Part-of-Speech Tagging: Identifying the parts of speech for each word in a sentence, such as nouns, verbs, adjectives, etc.
- Named Entity Recognition (NER): The identification and classification of named entities in text, such as person names, organizations, locations, medical codes, time expressions, quantities, monetary values, percentages, etc.
NLP Pipeline
For more information about NLP, you can visit our NLP Tutorial.
- Text Classification: Categorizing text into predefined categories based on its content.
- Sentiment Analysis: Determining whether a piece of text is positive, negative, or neutral.
- Machine Translation: Automatically translating text from one language to another.
Sentiment Analysis
These are just a few examples of what NLP can do. The field is rapidly evolving, and new applications are being developed all the time.