Xavier Holt edited Humour_Classification_Scoring_cite_Mihalcea2006__.md  over 8 years ago

Commit id: 0131a424779285b6092cb3e9899530cff1c205ea

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- five data sets retrieved from Twitter taking advantage of user-generated tags, such as “#humor" and “#irony"  - irony detection [44,45,10,35], satire detection [9], and sarcasm detection [43,18]  i. 1.  ambiguity, concerning with three layers: structural, morphosyntactic and semantic; ii. 2.  polarity, concerning with words that denote either positive or negative semantic orientation; iii. 3.  unexpectedness, concerning with contextual imbalances among the semantic meanings of the words; iv. 4.  emotional scenarios, concerning with psychological contexts regarding natural language concepts.