AI-900: How to interpret sentiment analysis scores from Text Analytics service

Learn how to use the Text Analytics service to perform sentiment analysis on documents and understand what the scores mean. Find out how a score of 0.65 indicates a positive document.

Question

You perform sentiment analysis on a document with the help of the Text Analytics service. A score of 0.65 is returned. What does this indicate?

A. The document is positive
B. The document is neutral
C. The document is negative

Answer

A. The document is positive

Explanation

Score values closer to 1 indicate a more positive sentiment where scores closer to 0 indicate negative sentiment.

The correct answer is A. The document is positive.

Sentiment analysis is a feature of the Text Analytics service that provides sentiment labels (such as “negative”, “neutral” and “positive”) and confidence scores for the entire document, and each sentence within it. The confidence scores are between 0 and 1, where 1 is the most confident and 0 is the least confident. A higher score indicates a higher probability of the sentiment label being correct.

A score of 0.65 means that the Text Analytics service is 65% confident that the document is positive. This indicates that the document contains more positive words and phrases than negative or neutral ones. For example, a document that says “I love this product, it is amazing and easy to use” would likely have a high positive score.

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