Decision-theoretic approach to harnessing text classification for guiding automated action

A machine-readable medium having processor instructions stored thereon for execution by a processor to cause performance of a method comprising:

• determining a text to analyze;
• determining an action probability based on the text;
• selecting an option selected from the group essentially consisting of:
• (1) inaction, (2) automatic action, and (3) suggested action with user approval, based on the action probability;
• and,
• upon selecting the option comprising one of the (1) automatic action and the (2) suggested action with user approval, the latter also in conjunction with receiving actual user approval, performing an action based on the text.

A computerized system comprising:

• a program in which a user is able to perform an action;
• and,
• an action direction program to determine an action probability based on an input;
• select an option selected from the group essentially consisting of:
• (1) inaction, (2) automatic action, and (3) suggested action with user approval, based on the action probability;
• and, upon selecting the option comprising one of the (1) automatic action and the (2) suggested action with user approval, the latter also in conjunction with receiving actual user approval, performing an action within the program based on the input.