Which technology analyzes consumer opinions by processing textual content to gauge sentiment?

Which technology analyzes consumer opinions by processing textual content to gauge sentiment?

• A. Deep Learning
• B. Reinforcement Learning
• C. Generative Engine Optimization
• D. Natural Language Processing

Answer: (D)

Natural language processing is the field that handles understanding and analyzing human language, including extracting opinions and sentiment from text like reviews and social posts. It uses techniques to interpret words, phrases, and context, turning raw text into insights about positive, negative, or neutral feelings. Deep learning can power NLP models, but the core task described—processing textual content to gauge sentiment—belongs to NLP. The other terms don’t fit as directly: reinforcement learning focuses on learning through rewards and interactions, not analyzing language for sentiment; deep learning is a broad approach used within NLP but isn’t by itself the specific technology for sentiment analysis; and Generative Engine Optimization isn’t a standard concept for this purpose.

Natural language processing is the field that handles understanding and analyzing human language, including extracting opinions and sentiment from text like reviews and social posts. It uses techniques to interpret words, phrases, and context, turning raw text into insights about positive, negative, or neutral feelings. Deep learning can power NLP models, but the core task described—processing textual content to gauge sentiment—belongs to NLP. The other terms don’t fit as directly: reinforcement learning focuses on learning through rewards and interactions, not analyzing language for sentiment; deep learning is a broad approach used within NLP but isn’t by itself the specific technology for sentiment analysis; and Generative Engine Optimization isn’t a standard concept for this purpose.