You have a requirement to analyze sentiments in a set of documents.
You use sentiment analysis with opinion mining.
As a result, you get document i, confidence score and document level sentiment.
Given the requirement, review the code snippet below and complete it by choosing the option flag with analyzeSentiment method
async function sentimentAnalysisWithOpinionMining(client){ const sentimentInput = [ { text: "The food was good but the service was poor", id: "0", language: "en" } ]; const results = await client.analyzeSentiment(sentimentInput, {.............................................
});
Click on the arrows to vote for the correct answer
A. B. C. D.Correct Answer: A.
Option A is correct because includeOpinionMining: true is the correct option flag for the requirement.
Here is the completed code snippet:
<pre class="brush:java;">async function sentimentAnalysisWithOpinionMining(client){
const sentimentInput = [
{
text: "The food was good but the service was poor",
id: "0",
language: "en"
}
];
const results = await client.analyzeSentiment(sentimentInput, { includeOpinionMining: true });
</pre>
Option B is incorrect because the includeOpinionMining: enable is not the correct option flag.
Option C is incorrect because the getConfidenceScores: true is not the correct option flag.
Option D is incorrect because the getConfidenceScores: true is not the correct option flag.
Reference:
To learn more about opinion mining in sentiment analysis, use the link given below:
The code snippet provided is using the Azure Cognitive Services Text Analytics API to analyze the sentiment of a set of documents. The sentiment analysis includes opinion mining, which allows for identifying opinions and sentiments about specific aspects or entities within the document.
To enable opinion mining in the sentiment analysis, we need to set the option flag for the analyzeSentiment method. The available options for this flag are:
A. includeOpinionMining: true: This option enables opinion mining and will provide additional information about specific aspects or entities within the document that are mentioned in a positive, negative, or neutral way.
B. includeOpinionMining: enable: This option is not valid and will result in a syntax error.
C. getConfidenceScores: true: This option enables the return of confidence scores for each sentiment value (positive, negative, and neutral) for each document. This can be useful for assessing the accuracy of the sentiment analysis.
D. getConfidenceScores: enable: This option is not valid and will result in a syntax error.
Therefore, the correct option to enable opinion mining in the sentiment analysis is A. includeOpinionMining: true. The completed code snippet with the correct option flag is:
vbnetasync function sentimentAnalysisWithOpinionMining(client){ const sentimentInput = [ { text: "The food was good but the service was poor", id: "0", language: "en" } ]; const results = await client.analyzeSentiment(sentimentInput, { includeOpinionMining: true }); This will return sentiment analysis results that include information about the sentiment of the document as a whole, as well as information about any identified aspects or entities mentioned in the document.