In this paper, we design and develop various strategies required for sentiment analysis of movie domain in mobile environment. The main objective of review mining and summarization is extracting the features on which the reviewers express their opinions and determining whether the opinions are positive or negative. The sentiment classification is done by various classifiers such as maximum entr...

OBJECTIVE The aim of this study was to describe the auditory-perceptive evaluation and the psychodynamic aspects of voice samples among suicidal movie characters. METHOD Voice samples of 48 characters (27 male, 21 female), extracted from 36 movies produced between 1968 and 2006, were analyzed. The samples were evaluated through a specific protocol focusing on the auditory-perceptive evaluatio...

subject, the ‘i’ who experiences and interacts with the world, constructs fantasies for him(her)self in order to show his(her) imaginary position in social structure. these fantasies have been reproduced in movies narration. furthermore, cinema apparatus sutures audience by ideology within a movie narration. this article attempts to interprete fantasy and ideology in the narration of aghaye- ha...

In sentiment analysis of reviews we focus on classifying the polarity (positive, negative) of conveyed opinions from the perspective of textual evidence. Most of the work in the field has been intensively applied on the English language and only few experiments have explored other languages. In this paper, we present a supervised classification of French movie reviews where sentiment analysis i...

There are hundreds of newspaper articles, blogs, magazines and product reviews that get released on the web everyday. The New York Times has a database of newspapers spanning over 20 years between 1987 and 2007 that is available online. The online database also contains 1.8 million articles from The Times, and many of these online articles have been manually annotated for people, places and org...

This paper presents an empirical study of efficacy of machine learning techniques in classifying text messages by semantic meaning. We use movie review comments from popular social network Digg as our data set and classify text by subjectivity/objectivity and negative/positive attitude. We propose different approaches in extracting text features such as bag-of-words model, using large movie rev...

Modern film industry has contributed to the fascinations in the psychological world. Many movies have been developed to explore different situations which can be psychologically be interpreted. These situations happen in our day to day life. Analyzing a movie through psychological perspective can be very interesting and enables one to analyze a movie better. This can be through the actions of t...

Sentiment analysis is an important step towards comprehension in natural language processing. Movie reviews are a convenient source of highly polarized sentences for use in sentiment analysis. Achieving a high level of accuracy in the sign of nonneutral sentiment is a challenge. When the problem is expanded to choosing one of 5 sentiment levels the problem becomes significantly harder. Among th...