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Exact matches only
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page
Filter by Categories
Data Scraping

Sentiment feature: Detect positive, negative, and neutral

Use Sentiment to learn about concepts’ association with types of emotion. Daylight uses a proprietary deep learning model to determine sentiment for all concepts in a project and assigns a label of positive, negative, or neutral, based on the concept’s context. Please use the percentage counts in this feature as a general indication.

full screenshot of sentiment page
  1. Display Sentiment: Click the Sentiment icon in the sidebar or select Sentiment feature on the Highlights page. The Sentiment feature appears.
  2. Use the arrows at the top of columns to change the order of your concepts and use the Configure visualization tab to adjust how concepts are displayed.
  3. Hover over concept’s negative and positive match breakdown to view an additional percentage of neutral matches.
  4. Click a concept row. The bar expands to display examples of the concept’s use in positive, negative, and neutral contexts, and the concept displays as selected in the Concept details pane.Tip: If the concept is interesting, save it to access it easily for analysis in all features.
  5. Click Download more matches to create an export where you can review all matches for the sentiment concept.
  6. To close the sentiment example bar, deselect the concept in the Concept details pane.

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