Sentiment Analysis aims at determining the overall polarity of a document, for instance, identifying whether a movie review appreciates or criticizes a movie. We present a machine learning based approach to this problem similar to text categorization. The technique is made more effective by incorporating linguistic knowledge gathered through Wordnet1 synonymy graphs. A method to improve the acc...

This paper presents a framework for detecting spirited incidental music that is often accompanied with highlighted parts of a movie. A speech/music discrimination module is first developed to tell clips with speech or music apart. Then spirited music models are trained and used to classify the clips with incidental music into spirited or smooth ones. This two-stage framework facilitates automat...

Direct content analysis reveals important details about movies including those of gender representations and potential biases. We investigate the differences between male and female character depictions in movies, based on patterns of language used. Specifically, we use an automatically generated lexicon of linguistic norms characterizing gender ladenness. We use multivariate analysis to invest...

in this article we study the attitudes of iranian cinema audience toward popular films. affected by classic elite cultural theories, popular culture and consumers of popular culture have been humiliated for many years. according to this theories, audience of popular magazines, popular music, popular films and other popular culture products, have been considered as passive victims. cultural stud...

This research aims to find out the differences between comics and movie by using a qualitative method, effective describe problem give more explanation about this comic Iron Man. was conducted in Comic (Tales of Suspense: Man) Movie Man (2008). To fulfill objective, researcher took an experimental study involving sample with duration 2 hours 6minutes strip 13 pages. Data is obtained through ana...