sentimental

sentiment analysis made so simple, you'll think we're mental.

Sentimental helps people and brands understand how Facebook activity affects readers.

Our visualizations and analyses are free, but you can download the sentiment data as a CSV file for $1 per post. Sentimental works best in Chrome or Safari.

Note that we analyze comments in the order that they are returned by Facebook. Unfortunately, Facebook sometimes returns comments in an arbitrary order.

Sentimental contains information from AFINN 111, which is made available under the Open Database License (ODbL).

Created with Raphaël 2.1.0vitality18 minutes# commentscumulative2501380

vitality

This section shows how many comments are posted over time.

The best posts sustain many comments over a long time. The worst get just a few comments.

Yellow circles show the number of comments posted at each instant since the original post. The blue line shows a running total.

Click on a circle to see the comment details at the bottom of the page.

Created with Raphaël 2.1.0sentiment18 minutesfeelingcumulative13-5250

sentiment

This section shows how the impression left on a reader changes over time.

Positive and negative scores reflect a measure of positive and negative emotion in the comments.

Yellow circles show the sentiment at each instant since the original post. The blue line shows a running total.

Click on a circle to see the comment details at the bottom of the page.

likenonicelovepleasebestwantwowcooluglyawesomemissgoodamazinginterestedhellfreethanksdiesweetsupportgreat

context

This section shows the words that strongly contribute to the sentiment of a post.

The size of the word indicates how often it appears in the comments.

The color of the word represents its sentiment.

The best posts show lots of big green words. The worst show big red ones.

Created with Raphaël 2.1.0likabilitymost negativemost positive# likes

likability

This section shows which kind of comments were “liked” the most.

The chart is a histogram showing the number of comments “liked” at each sentiment level.

The best posts get many “likes” on the most positive comments. The worst get “likes” mainly on the most negative comments.

Created with Raphaël 2.1.0moodmost negativemost positive# comments

mood

This section shows you which kind of comments were posted the most.

The chart is a histogram showing the number of comments occurring at each sentiment level.

The best posts get many comments posted at the most positive sentiment. The worst get comments mainly at the most negative sentiment.

Created with Raphaël 2.1.0summary+0.6sentimentalitynegative7%neutral68%positive25%

summary

This section shows some summary metrics for the post - a pie chart of the sentiment breakdown and overall sentimentality.

Sentimentality is the average sentiment per comment. It's a good number to compare across posts, even when one has few comments and the other has many.

The best posts are mostly positive and have high sentimentality. The worst are mostly negative and have low sentimentality.