Moviegoers frequently consult movie ratings and reviews on websites such as IMDb, Amazon, and Yelp when deciding which film to watch or purchase next. At the moment, moviegoers make their selections based on the ratings of films and reading some of the reviews on IMDb or Amazon. This article proposes a better approach: reviewers' movie scores and reviews can be analyzed for emotional content, pooled, and projected onto a film, yielding an emotional map. After that, one can choose which film to watch next by looking for emotion maps that contain specific emotion map patterns that he or she finds appealing. Sentiment analysis has long been a source of contention for business, marketing, and management departments seeking to increase the value earned during the decision-making process.
Detailed Report at Exploration and Assessment of Multiple Crowd Sourced Feedbacks