Dive into the fascinating world of Natural Language Processing (NLP) and learn about its various tasks such as sentiment analysis and language translation. Discover how NLP differs from computer vision tasks like image recognition.
Table of Contents
Question
Which of the following tasks is typically not associated with Natural Language Processing?
A. Sentiment analysis.
B. Language translation.
C. Image recognition.
Answer
C. Image recognition.
Explanation
While both NLP and image recognition are branches of AI, image recognition falls under computer vision.
Natural Language Processing (NLP) is a subfield of artificial intelligence that focuses on the interaction between computers and humans through natural language. The ultimate objective of NLP is to read, decipher, understand, and make sense of human language in a valuable way.
Option A, Sentiment Analysis, is a common NLP task that involves determining the sentiment or emotion expressed in a block of text. This can be used in a variety of applications, such as monitoring social media for brand sentiment or analyzing customer reviews.
Option B, Language Translation, is another typical NLP task. It involves translating text from one language to another. This is the technology behind tools like Google Translate.
Option C, Image Recognition, is not typically associated with NLP. Image recognition falls under the umbrella of computer vision, not natural language processing. It involves identifying and detecting an object or feature in a digital image or video.
So, the answer to the question “Which of the following tasks is typically not associated with Natural Language Processing?” is C. Image recognition.
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