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You use Azure AI Language to perform sentiment analysis on a sentence. The confidence scores .04 positive, .36 neutral, and .60 negative are returned. What do these confidence scores indicate about the sentence sentiment? The document is positive.The document is neutral.The document is negative

Question

You use Azure AI Language to perform sentiment analysis on a sentence. The confidence scores .04 positive, .36 neutral, and .60 negative are returned. What do these confidence scores indicate about the sentence sentiment? The document is positive.The document is neutral.The document is negative

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Solution

The confidence scores indicate the sentiment of the sentence. In this case, the confidence score of .04 for positive, .36 for neutral, and .60 for negative suggest that the sentiment of the sentence is negative.

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You want to use Azure AI Language to determine the key talking points in a text document. Which feature of the service should you use? Sentiment analysisKey phrase extractionEntity detection

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1. How should you create an application that monitors the comments on your company's web site and flags any negative posts? Use the Azure AI Language service to extract key phrases.Use the Azure AI Language service to perform sentiment analysis of the comments.Use the Azure AI Language service to extract named entities from the comments.2. You have analyzed text that contains the word "Paris". How might you determine of this word refers to the French city or the character in Homer's "The Iliad"? Use the Azure AI Language service to extract key phrases.Use the Azure AI Language service to detect the language of the text.Use the Azure AI Language service to extract linked entities.

How should you create an application that monitors the comments on your company's web site and flags any negative posts? Use the Azure AI Language service to extract key phrases.Use the Azure AI Language service to perform sentiment analysis of the comments.Use the Azure AI Language service to extract named entities from the comments.

For this question, you need to explain decisions about your investigation. A suitable research question for this investigation is: Does the sentiment of a headline depend on the section it's published in? For this investigation you will collect data using an app that takes random samples of headlines from one particular year and three different sections of the New Zealand Herald website. For each headline, the sentiment score is calculated (between -1.5 and +1.5) based on individual words. You need to decide which year (2017, 2018, 2019, 2020, 2021, or 2022) and which three sections you will investigate (New Zealand, Business, Sport, World, Lifestyle, and Entertainment). To help you make these decisions, go to the New Zealand Herald website (www.nzherald.co.nz) and have a look at the current headlines for the different sections. Identify one section for one year that you think will generally have a more negative sentiment than other sections for that year. Explain why you think this section has generally more negative headlines than others, being careful to discuss your reasons related to both the section and the year. Construct your answer using the following structure. Copy and paste it into the template and complete your answers accordingly.

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