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Why is natural language processing the key to chatbot weather queries?
Get a clear explanation for the AI-900 exam on why natural language processing (NLP) is the correct workload for interpreting a user’s question to a chatbot about a weather report. Learn how NLP allows the chatbot to understand intent and entities, and why this is different from prediction or forecasting.
Question
Asking a chatbot if precipitation is expected as part of the weather report is an example of___________________________.
A. Natural language processing
B. Anomaly detection
C. Computer vision
D. Prediction and forecasting
Answer
A. Natural language processing
Explanation
The correct answer is A. Natural language processing. The core of this interaction involves the chatbot’s ability to understand a question posed in human language.
The Role of Natural Language Processing
Natural language processing (NLP) is the specific field of artificial intelligence focused on enabling computers to understand, interpret, and respond to human language. When a user asks a chatbot, “if precipitation is expected,” several NLP tasks must occur:
- Intent Recognition: The chatbot must understand that the user’s goal is to get information about the weather.
- Entity Extraction: The chatbot needs to identify key pieces of information in the query, such as “precipitation,” which specifies the type of weather data being requested.
This entire process of parsing the user’s text-based question and comprehending its meaning is a fundamental application of natural language processing. The chatbot uses NLP as its “ears” to listen to and understand the user’s request.
Distinguishing from Prediction and Forecasting
While the weather report itself is the result of D. Prediction and forecasting models, the interaction with the chatbot is an NLP task. The question focuses on the act of asking the chatbot and the chatbot’s ability to process that question. The chatbot first uses NLP to understand what the user wants, and then it retrieves the answer from a separate weather forecasting service. The initial understanding of the question is a distinct NLP step.
Why Other Options Are Incorrect
- B. Anomaly detection: This workload is used to identify rare or unusual events in data, which is not relevant to interpreting a standard conversational question.
- C. Computer vision: This field of AI deals with processing and understanding images and videos, not text.
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