Every time the user selects a new document in the Actor or Action Analysis widgets, the NLP tagging is recomputed. The same goes for when a checkbox is (de)selected and when the slider is engaged.
A more efficient way would be to tag only once at the start when importing / loading the stories, and store the results in a data structure. This data structure can then be filtered when triggered by the events mentioned above.
Every time the user selects a new document in the Actor or Action Analysis widgets, the NLP tagging is recomputed. The same goes for when a checkbox is (de)selected and when the slider is engaged.
A more efficient way would be to tag only once at the start when importing / loading the stories, and store the results in a data structure. This data structure can then be filtered when triggered by the events mentioned above.