information in decision making process. The sentiment analysis of the web content has been of significant interest to researchers in the last decade [1]. It is important to understand the sentiments of users toward various products and services because it enables improved contextual advertisement, recommendation systems and analysis of the market trends [2].

For this study, we attempt to predict the sentiment polarity of Chinese movie reviews from the web. The reviews are obtained from the IMDB movie website that contains ratings by users for the popular Chinese movies [3]. The movies ranged between years 1971 and 2015. For our study, we selected the top 100 Chinese movies by user ratings.

In this study, we have proposed a framework for sentiment analysis of Chinese movie reviews. For our analysis, we used the corpus of words trained by SentiStrength. For future, we plan to use our customized repository of words along with SentiStrength.