ME$$^$$ : Movie Review Exploration Engine

To address the needs and aspirations of movie fans living in the world of big data, we propose a Movie review Exploration Engine, ME\(^2\). Different from most of the previous work with paragraph-level or sentence-level summarization methods, we formulate the movie review summarization task as a keyphrase mining problem. We propose a novel framework for exploration and enrichment of movie reviews using keyphrases extracted from news articles and enriching associated \(\langle \)element, role\(\rangle \) pairs. Our user case studies have demonstrated that ME\(^2\) keyphrases [machine selected] are comparable to or even better than online Internet Movie Database (IMDb) and The Movie Database (TMDb) Plot keywords [human selected].