Research Article
Context-Based Emotion Predictor: A Decision- Making Framework for Mobile Data
Algorithm 1
Proposed ACED algorithm for sentiment detection.
| | Input: text data for emotion prediction | | | Output: emotional and sentiment score1 | | (1) | FOR T ← Token//at the end of FOR loop clean text is returned | | (2) | IF T is in StopwordList THEN | | (3) | Remove Stopword | | (4) | ELSE | | (5) | IF T is in InfectedForm THEN | | (6) | Lemmatize the Token | | (7) | Assign Part of Speech Tag | | (8) | ELSE | | (9) | Assign Part of Speech Tag | | (10) | END | | (11) | END | | (12) | END | | (13) | FOR T ← Token | | (14) | IF T is in SentiWordNet THEN | | (15) | assign sentiment score | | (16) | ELSE | | (17) | IF T is in NegationList THEN | | (18) | reverse sentiment score | | (19) | ELSE | | (20) | assign zero to sentiment score | | (21) | END | | (22) | END | | (23) | END |
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