Sentiment Analysis Using Common-Sense and Context Information

Algorithm 2

Finding ambiguous terms.

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