Natural Language Processing is a field of AI focused on the interaction between computers and humans through natural language. NLP enables machines to understand, interpret, and generate human language. The evolution of NLP has dramatically improved search engines’ ability to handle complex queries.
Techniques include:
- Tokenization: Breaking text into words or sentences.
- Part-of-Speech Tagging: Identifying grammatical elements.
- Sentiment Analysis: Determining the emotional tone.
- Entity Recognition: Identifying key subjects.
Applications in search:
- Query Understanding: Interpreting user intent and context.
- Content Analysis: Understanding webpage content for indexing.
- Voice Search: Converting speech to text and interpreting commands.
In daily life, NLP powers voice assistants, translation services, and conversational interfaces. For businesses, leveraging NLP can enhance customer service, content analysis, and sentiment monitoring. In marketing, it allows for more personalized and effective communication. Trust in NLP applications is built on their ability to accurately understand and respond to human language.
(See also BERT, Transformer, and Semantic Search.)