Host: Japan Society for Fuzzy Theory and Intelligent Informatics (SOFT)
We propose a method to estimate the semantic orientation(positive or negative) of products reviews, in which a pair of noun and adjective are selected as the characteristic words to determine the semantic orientation of the reviews and the sentiment orientation scores of the review are calculated according to the phrase' s orientation. The words to change the effect of characteristic words for the semantic orientation, such as "not", "very" "quite", are considered in the propose algorithm which determine the semantic orientation. In order to evaluate the proposed classification method, two kinds of product reviews, a liquid crystal display and a MP3 player, which contain 1400 reviews, are classified to two categories (positive or negative).
