Natural Language Processing (NLP) is a branch of artificial intelligence that focuses on the interaction between computers and humans through natural language. It involves the ability of machines to understand, interpret, and generate human language.
Key Areas of NLP
- Text Classification: Categorizing text into predefined categories (e.g., sentiment analysis, spam detection).
- Machine Translation: Translating text from one language to another.
- Speech Recognition: Converting spoken words into written text.
- Summarization: Reducing the length of a text while preserving the main points.
NLP Techniques
- Tokenization: Breaking text into words or phrases.
- Part-of-Speech Tagging: Identifying the parts of speech for each word in a sentence.
- Named Entity Recognition (NER): Identifying and categorizing entities in text (e.g., names, locations).
- Sentiment Analysis: Determining the sentiment of a text (positive, negative, neutral).
Applications of NLP
- Customer Service: Automating customer service through chatbots.
- Healthcare: Analyzing medical records to improve patient care.
- Finance: Detecting fraudulent transactions.
- Education: Personalized learning experiences.
NLP in Action
For more information on NLP and its applications, check out our Introduction to NLP.
Note: The image above showcases how NLP can be applied in various fields.