By clicking either on a specific emotion line or on a specific date on the emotion line, we can see the articles in the dataset with high expressed emotion. This list is ordered with the articles with the highest emotion scores for the selected emotion at the start of the list.
The emotion score next to the document title is the average score across sentences for the specific document. An interesting classroom activity is to select an article with high, single emotion and then read the article and see if you agree with the affect classification.
For example, if we clear on Fear for September 12th, we can see some of the headlines following the attacks: “More on the Attacks”, “When an Open Society is Wielded as a Weapon Against Itself”, “Bush Aides Say Attacks Don’t Recast Shield Debate”.
Similarly, when we select Sadness over time, we see many obituaries at the top of the list.