Sentiment analysis is the best type of natural language processing workload to use when analyzing customer reviews in Azure. Learn more about sentiment analysis and other natural language processing workloads in Azure.
Question
You need to develop a natural language processing solution in Azure that will analyze customer reviews and determine how positive or negative each review is. Which type of natural language processing workload is best suited for this scenario?
A. Entity recognition
B. Key phrase extraction
C. Language detection
D. Sentiment analysis
Answer
D. Sentiment analysis
Explanation
Sentiment analysis can help in determining the sentiment in a text, therefore labelling if a customer review is positive or negative.
To analyze customer reviews and determine how positive or negative each review is, the best type of natural language processing workload to use is sentiment analysis. Sentiment analysis is a type of natural language processing workload that can determine how positive or negative a text is. It can use advanced algorithms to assign a polarity score or a sentiment label to a text, such as happy, sad, angry, or neutral.
Entity recognition is used to identify entities in text, such as people, places, and organizations. Key phrase extraction is used to extract key phrases from text. Language detection is used to identify the language of a given text.
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Alex Lim
Alex Lim is a certified IT Technical Support Architect with over 15 years of experience in designing, implementing, and troubleshooting complex IT systems and networks. He has worked for leading IT companies, such as Microsoft, IBM, and Cisco, providing technical support and solutions to clients across various industries and sectors. Alex has a bachelor’s degree in computer science from the National University of Singapore and a master’s degree in information security from the Massachusetts Institute of Technology. He is also the author of several best-selling books on IT technical support, such as The IT Technical Support Handbook and Troubleshooting IT Systems and Networks. Alex lives in Bandar, Johore, Malaysia with his wife and two chilrdren. You can reach him at [email protected] or follow him on Website | Twitter | Facebook
