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Which of the following is an example of how semantics is applied in natural language processing (NLP)?

APart-of-speech tagging

BSentiment analysis

CPhoneme recognition

DSyntactic parsing

Answer:

B. Sentiment analysis

Read Explanation:

Sentiment analysis is an application of semantics in NLP that involves determining the emotional tone or attitude expressed in a text. This requires understanding the meanings of words and phrases, as well as the context in which they are used, to accurately gauge whether the sentiment is positive, negative, or neutral.


Related Questions:

Which of these refers to the sound feature of a language?
In corpus linguistics, lexemes are referred to as:
A word is shortened to form another word by retaining its final part is called:
Additional speech features such as stress, pitch, length etc., affecting speech sounds are called __.
The sentence “he was punished” becomes “why was he punished?” it is :