Learn how to use key phrase extraction to identify the main talking points in a collection of documents.
Question
You are developing a solution that needs to identify the main talking points in a collection of documents. Which type of natural language processing should you use?
A. Entity recognition
B. Sentiment analysis
C. Key phrase extraction
D. Language detection
Answer
C. Key phrase extraction
Explanation
Key phrase extraction evaluates unstructured text, and for each document returns a list of key phrases.
The correct answer is C. Key phrase extraction. This type of natural language processing is used to identify the main talking points or topics in a collection of documents. Key phrase extraction can help to summarize the content of a document, find relevant documents based on keywords, or analyze the themes and trends in a corpus of text.
Entity recognition is a type of natural language processing that identifies and categorizes named entities in a text, such as people, places, organizations, dates, etc. Entity recognition can help to extract information from a document, link entities to external sources, or perform tasks such as question answering or chatbot development.
Sentiment analysis is a type of natural language processing that determines the attitude or emotion of a speaker or writer towards a subject, such as positive, negative, or neutral. Sentiment analysis can help to understand the opinions and feedback of customers, users, or stakeholders, or monitor the social media sentiment of a brand, product, or topic.
Language detection is a type of natural language processing that identifies the language of a text, such as English, Spanish, Chinese, etc. Language detection can help to process multilingual documents, translate texts, or provide localized services.
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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
