Learn what a sentiment score of 0.5 means in text analytics and how to use it to analyze the sentiment from small texts posted on Twitter. This is a sample question for the AI-900 exam.
Table of Contents
Question
You are building an application that analyzes the sentiment from small texts posted on Twitter. For some of the analyzed texts, the sentiment score is precisely 0.5. What does this mean?
Select all options that apply.
A. A wrong language code might be used.
B. The sentiment in those texts are completely neutral.
C. The texts might be too small to analyze.
D. The texts do not have sufficient context to discern a sentiment.
Answer
B. The sentiment in those texts are completely neutral.
D. The texts do not have sufficient context to discern a sentiment.
Explanation
A score of 0.5 might indicate that the sentiment of the text is indeterminate, and could result from text that does not have sufficient context to discern a sentiment, insufficient phrasing or a wrong language code was used.
The correct answer is B and D. A sentiment score of 0.5 means that the sentiment in those texts are completely neutral, or that the texts do not have sufficient context to discern a sentiment.
A wrong language code might be used if the sentiment score is null or an error message is returned. The texts might be too small to analyze if they are less than three words long, in which case the sentiment score is also null.
The sentiment score is a value between 0 and 1 that indicates the positive or negative tone of the text, where 0 is the most negative, 1 is the most positive, and 0.5 is neutral. The sentiment score is calculated by using a pre-trained machine learning model that analyzes the words and phrases in the text and assigns them a polarity score. The sentiment score is the average of the polarity scores of all the words and phrases in the text.
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