This paper describes an integrated aspect level opinion summary generation system for movie reviews. The system, named as Movie Prism, analyses each movie review, locates aspect term in it, identifies opinion about those aspects and then generates a visual aspect based opinion summary of the movie in question. At present, the movie reviews and other related information is being automatically fetched from IMDb for all the movies released during the years 2010 to 2014. The system has an integrated crawler for this purpose. Further, ontology for the movie domain is created for better aspect identification. We have evaluated the system on three annotated movie review datasets. The system obtains good accuracy. Overall the designed system is capable of producing visual aspect level opinion summaries from unstructured textual reviews, without any need of training and results have a reasonable degree of accuracy.
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