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Qualitative Reporting: Sentiment Analysis

Automated sentiment analysis is now available in the Fuel Cycle Qualitative Reporting tool. With a click, you can see a visual representation of sentiment per response.

By default, sentiment is hidden when you are viewing an activity. To show sentiment, click the “View Sentiment” link located next to the Export link in the top gray bar.

When sentiment is visible, it will be displayed in the following ways:

Overall sentiment breakdown by percentage per response

For all responses that have sentiment associated with it, a donut chart will display showing the breakdown of positive, neutral and negative statements in the response. When you hover over a color, you’ll see the exact percentage of each sentiment type.

Please Note

A response needs at least 25 characters to be analyzed. Responses with fewer characters will not have sentiment. If that is the case, the donut chart will be gray and display N/A in the middle to indicate no score is available.

How are sentiment percentages determined?

The machine-learning algorithm used in Fuel Cycle returns a relevance for each word or phrase it analyzes. We take into account the relevance of the sentiment and give more weight to words/phrases with higher relevance.

Relevance is defined as how relevant the machine-learning algorithm feels the word or phrase is to the entire response.

A higher relevance score means it is more likely to be important in the context of the full response, and is, therefore, weighted heavier in the score breakdown. For example, if a statement has one positive, one neutral and one negative statement, the percent negative could be much higher (such as 70%) if the relevance score for the negative statement is higher than the positive or neutral statement.

Sentiment at the Word/Phrase Level

When you enable sentiment, you’ll also see each word or phrase that has sentiment associated with it highlighted by color. The machine-learning algorithm used in Fuel Cycle returns a sentiment score for each individual word or phrase that it determines has sentiment. Based on that score, all words/phrases with sentiment are highlighted as follows:

  • Green highlighted text = positive score
  • Yellow highlighted text = neutral score
  • Red highlighted text = negative score

Clicking on a highlighted word will show the sentiment score given to the word. You can click multiple words to open more than one score at a time. Clicking the word a second time will close popup.

Note: Neutral words are not clickable because the score is always 0 for a neutral word.

Sentiment Data Included in Exports

Whenever you export data from the Qualitative Reporting tool, the sentiment data will also be included in the file as follows:

  • Overall sentiment breakdown percentages will be included with each response as columns for % Positive, % Neutral, % Negative
  • Sentiment Keywords and Sentiment Entities are new sheets in the Excel file. For each keyword or entity with associated sentiment, the individual sentiment score and relevance will be included.

Machine-Learning Tools and Fuel Cycle

As you work with the Qualitative Reporting tool, you might have questions about the data and how to use it. For information about Fuel Cycle’s view on the role of machine learning in sentiment analysis and text analytics, please click here.

Updated on May 8, 2020

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