What feature in Watson enables real-time sentiment analysis?

What feature in Watson enables real-time sentiment analysis?

• A. The Visual Recognition service
• B. The Natural Language Understanding service
• C. The Speech to Text service
• D. The Data Refinery service

Answer: (B)

The Natural Language Understanding service is specifically designed to analyze text data and extract insights such as sentiment, emotion, keywords, and entities. This service uses advanced machine learning techniques to evaluate the sentiment expressed in text, determining whether it is positive, negative, or neutral. The ability to perform real-time sentiment analysis is crucial for applications that monitor customer feedback, social media interactions, or any other form of textual data where understanding public opinion is important. This service facilitates sentiment analysis by processing text as it comes in, adjusting to context and nuances of language. In contrast, the other services listed do not focus on sentiment analysis in real time. The Visual Recognition service is aimed at analyzing images, while the Speech to Text service converts spoken language into text but does not infer sentiment from that text. The Data Refinery service is utilized for data preparation and cleaning rather than direct text analysis or sentiment extraction.

The Natural Language Understanding service is specifically designed to analyze text data and extract insights such as sentiment, emotion, keywords, and entities. This service uses advanced machine learning techniques to evaluate the sentiment expressed in text, determining whether it is positive, negative, or neutral.

The ability to perform real-time sentiment analysis is crucial for applications that monitor customer feedback, social media interactions, or any other form of textual data where understanding public opinion is important. This service facilitates sentiment analysis by processing text as it comes in, adjusting to context and nuances of language.

In contrast, the other services listed do not focus on sentiment analysis in real time. The Visual Recognition service is aimed at analyzing images, while the Speech to Text service converts spoken language into text but does not infer sentiment from that text. The Data Refinery service is utilized for data preparation and cleaning rather than direct text analysis or sentiment extraction.