Natural Language Processing (NLP) is a subfield of artificial intelligence that focuses on the interaction between computers and human languages. It involves programming computers to process and analyze large amounts of natural language data. This section provides a basic overview of NLP.
Key Concepts
- Tokenization: The process of breaking down text into words, phrases, symbols, or other meaningful elements called tokens.
- Part-of-Speech Tagging: Assigning a part of speech to each word in a sentence, such as noun, verb, adjective, etc.
- Named Entity Recognition (NER): Identifying and classifying named entities in text, such as names, places, organizations, etc.
- Sentiment Analysis: Determining the sentiment or opinion expressed in a piece of text, such as positive, negative, or neutral.
- Machine Translation: Automating the translation of text from one language to another.
Applications
NLP has numerous applications in various fields, including:
- Customer Service: Automating customer interactions through chatbots and virtual assistants.
- Search Engines: Enhancing search results by understanding the context and intent behind queries.
- Content Moderation: Identifying and filtering out inappropriate content, such as hate speech or spam.
- Medical Diagnosis: Analyzing patient records and medical literature to assist in diagnosis and treatment.
Learn More
To learn more about NLP, you can visit our NLP Resources.
NLP Applications