Sentiment analysis is a powerful tool to use when analyzing your data. Notably uses AI to analyze your data to show positive or negative sentiment. However, we always allow researchers to have the final say, so you always have the option to override the sentiment.

In the "Analysis" tab of your project, you will notice an "Analyze Sentiment" button at the top of your canvas. This also shows how many new notes are available for sentiment analysis. To run Sentiment Analysis, simply click this button and let the AI do the work for you!

From here, you can Recolor your canvas by sentiment to see how it is distributed across your data set.

If you expand your table view in the analysis tab of Notably, you can run sentiment analysis directly in the spreadsheet. Since your table and canvas are always in sync, a notification bubble will indicate new notes available to run sentiment analysis.

Simply click the menu button next to Sentiment in the table, and select "Run sentiment analysis".

Once the analysis is complete, you have the ability to override any results. You can do this by clicking on the result, and selecting what you would like it to be changed to. Manual sentiment overrides will always be saved, and will not be changed when you run sentiment analysis on new notes.

Sentiment analysis is especially powerful when you select the "Color By" option on your canvas. At the top of your canvas, next to the AI button, click the "Color by" drop down and select "Sentiment". This will recolor your notes green (positive), red (negative) or gray (neutral). This allows you to have insight into how sentiment is distributed amongst your notes or themes.

You can take this one step further by utilizing the "Filter" on your canvas. For example, if you re-color your notes by sentiment, and filter down by tags such as "Solo" and "Group", you can see the sentiment distribution across notes coded with those tags.

There you have it! This is how to run sentiment analysis in Notably. To read more about how to turning conversational data into actionable insights, check out this post on our blog.