Abstract
Movie ratings and reviews at sites such as IMDb or Amazon are commonly used by moviegoers to decide which movie to watch or buy next. Currently, moviegoers base their decisions as to which movie to watch by looking at the ratings of movies as well as reading some of the reviews at IMDb or Amazon. This paper argues that there is a better way: reviewers movie scores and reviews can be analyzed with respect to their emotion content, aggregated and projected onto a movie, resulting in an emotion map for a movie. One can then make a decision on which movie to watch next by selecting those movies having emotion maps with certain emotion map patterns desirable for him/her. This paper is a first step towards the above-listed scenario.
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