Rezvan MohammadiBaghmolaei

Human opinions and decisions are mainly inspired by other people's beliefs and experiences which give them a strong background of anything they’ve heard or read about. Accordingly, extracting and knowing what others think about a special subject or product have become extremely important for different types of service providers as well as the consumers. Opinion mining is the area of analyzing user’s sentiments through the available reviews on the internet and has the beneficial application of guiding users for online shopping. Unfortunately, very few studies has been done for sentiment analysis in Persian online shopping and the existing works have many limitations in their performances, esp. in differentiating between a weak and a strong mood in sentimental sentences. This paper proposes a new lexicon-based opinion mining method for Persian online shopping which considers the effect of intensifier adjectives in extracting the exact opinion of a review. It has been applied on a real dataset extracted from Digikala and has achieved promising results compared to those of expert evaluators.