Emotion processing systems and methods

A computerized method for scoring documents using rule-based criteria, comprising:

• identifying one or more grams in a document;
• performing in parallel a first task with a first processing unit and a second task with a second processing unit, the first task comprising categorizing the one or more grams into categories and the second task being different from the first task, each category representing a different level of emotion;
• quantifying a number of grams in the categories;
• and
• using a rule-based engine to determine a construct score for the document based at least in part on the number of grams in each category for emotional scoring, wherein determining the construct score comprises applying scoring rules to the numbers of grams to determine the construct score for the document,
• wherein the construct score is calculated according to:
• W=10 if E>0, LG=0 9 if G>2, LG=0 8 if G>1, LG=0
• where W is the construct score, and E is a number of grams in a first category, G is a number of grams in a second category, and LG is a number of grams in a third category.

A computerized method for scoring documents using rule-based criteria, the method comprising:

• identifying one or more grams in a document;
• performing in parallel a first task with a first processing unit and a second task with a second processing unit, the first task comprising categorizing the one or more grams into categories and the second task being different from the first task;
• quantifying a number of grams in the categories;
• using a rule-based engine to determine a construct score based at least in part on the number of grams in each category for emotional scoring, wherein determining the construct score comprises applying scoring rules to the numbers of grams to determine the construct score;
• and
• calculating an impactfulness starting score based at least in part on the construct score, wherein calculating the impactfulness starting score comprises assigning a maximum score to each document with a positive construct score and assigning a minimum score to each document with a negative construct score.