MMO: Multiply-Minus-One Rule for Detecting & Ranking Positive and Negative Opinion

摘要: Hit and hot issue about reviews of any product is sentiment classification. Not only manufacturing company the reviewed takes decision its quality, but customers’ purchase also based on reviews. Instead reading all one by one, different works have been done to classify them as negative or positive with preprocessing. Suppose from 1000 reviews, there are 300 700 positive. As a whole it Company customer may not be satisfied this orientation. For companies, should separated respect aspects features, so companies can enhance features product. There lot work aspect extraction, then analysis. While other hand, users want most they decide purchasing certain To consider users’ perspective, authors suggest method Multiply-Minus-One (MMO) which evaluate each review find scores positive, negative, intensifiers negation words using WordNet Dictionary. Experiments 4 types datasets show that achieve 86%, 83%, 83% 85% precision performance.