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A Company That Runs an Online Library Is Implementing a Chatbot

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A company that runs an online library is implementing a chatbot using Amazon Lex to provide book recommendations based on category. This intent is fulfilled by an AWS Lambda function that queries an Amazon DynamoDB table for a list of book titles, given a particular category. For testing, there are only three categories implemented as the custom slot types: "comedy," "adventure," and "documentary." A machine learning (ML) specialist notices that sometimes the request cannot be fulfilled because Amazon Lex cannot understand the category spoken by users with utterances such as "funny," "fun," and "humor." The ML specialist needs to fix the problem without changing the Lambda code or data in DynamoDB. How should the ML specialist fix the problem?


Definitions:

Critical Value(s)

The threshold values used in hypothesis testing to determine whether to reject the null hypothesis, based on the chosen significance level.

Hypotheses

Statements made for the purpose of testing if they are true or false within the context of scientific research or experiments.

Two-tailed Test

A statistical test hypothesis where the area of interest is in both tails of the probability distribution, testing for the possibility of an effect in two directions.

One-tail Area

The probability in the tail of a distribution in a one-tailed test.

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