4.step 3.4. Identification from personal affairs

From Wordnet, we collected all the verbs under the lexical domains of verb.contact and verbmunication. We manually filtered all these sets to produce three resulting verb sets of: aggression verbs V_Hostility (361 words), friendliness verbs V_Amicable (70 words) and sexual interaction verbs V_Sexual (70 words).

Having these three sets, the tool is able to determine which nodes in the tree are interaction verbs. Whenever the tool detects an interaction verb, it marks the noun immediately preceding it and following it as potential interaction actors, matches the pair of nouns to the previous sets of characters, and counts each matched pair as being part of an interaction. 2 Because an interaction is of three types, the tool gathers the previously extracted interactions in the set I = I_Aggression?I_Friendly?I_Sexual, where I_Aggression is the set of aggressive interactions, I_Friendly is the set of friendly interactions and I_Sexual is the set of sexual interactions. With those sets of interaction types, the tools computes five additional metrics from table 1:

cuatro.3.5. Identity from emotions

To identify positive and negative emotions in the dream report, the tool incorporates the Emolex emotion dictionary , a widely used lexicon of English words associated with the eight basic emotions of Plutchik’s model : anger, fear, anticipation, trust, surprise, https://datingranking.net/tr/dating4disabled-inceleme/ sadness, joy and disgust. The Hall–Van de Castle guidelines define that expressions of joy is indicated by the presence of positive emotions, whereas expressions of anger, sadness and apprehension are indicated by markers of negative emotions. Continue reading To determine societal affairs, we first-built a database out-of verbs saying aggression, friendliness and you may sexual connectivity