Research Article
Multi-Rule Based Ensemble Feature Selection Model for Sarcasm Type Detection in Twitter
Algorithm 5
Fuzzy algorithm for sarcastic type detection.
| Input: Feature Set | | Output: Type of Sarcasm | | (1) For every fuzzy input variable fi in selected feature set, F | | a. Define fuzzy set corresponding to the crisp values | | b. Define the membership functions | | | | (2) Define fuzzy set for the consequent i.e. Type of Sarcasm | | (3) Define membership function for the output variable | | (4) For in type of sarcasm | | a. Define fuzzy rules | | (5) Perform a control system simulation using the defined rules | | (6) For tweet ti ∈ list of tweets T | | a. Compute the fuzzy value of type of sarcasm | | b. Compute the defuzzified value using centroid method | | | | (7) Defuzzified value will determine the type of sarcasm to which each text belongs to. |
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