Research Article
Sentiment Analysis Using Common-Sense and Context Information
INPUT Polarity lexicon and training corpus | OUTPUT Ambiguous terms | (1) for Each WORD () in Polarity_Lexicon do | (2) = ((Positive_Count() * Positive_Score() − Negative_Count() * Negative_Score()) | ÷ (Positive_Count() + Negative_Count())) | (3) = ((((( − Positive_Score() * Positive_Count()) − ( − Negative Score() | * Negative_Count()))/(Positive_Count() + Negative_Count()) | (4) if ≥ 0.75 then | (5) Ambiguity = YES | (6) Add to Ambiguous terms list | (7) else | (8) Ambiguity = NO | (9) Add to Polarity Lexicon | (10) end if | (11) end for |
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