Sentiment analysis is a rapidly growing field in natural language processing that aims to extract subjective information from text data. One of the most common applications sentiment movie industry, where it used gauge public opinion on films. In this research paper, sentimental reviews has been presented using dataset over 25,000 collected various sources. A machine learning model with differe...

This work aims to use sentiment analysis techniques, data mining, text mining and natural language processing to indicate the polarity of texts using SVM (support vector machine). Weka software and a movie review database from IMDb (internet movie database) were used. This work uses preprocessing filters and WRAPPER techniques and SVM for classification. It presents better results when compared...

This paper gives a description of the empirical study investigating the impact of promotions using Web based tools by Indian Movie production houses. Evolution of movie promotion starting with use of traditional methods for the first movie to the near dependence on social media to promote the latest movies produced in India has been chronologically presented. Critical role of web based tools an...

OBJECTIVE To determine the proportion of televised movie trailers that included images of tobacco use during 1 year and the extent of youth exposure to those trailers. DESIGN Content analysis combined with Nielsen data measuring media exposure. All movie trailers (N = 216) shown on television from August 1, 2001, through July 31, 2002. MAIN OUTCOME MEASURES Exposure among youth aged 12 to 1...

BACKGROUND the abilities of school children for reading static texts have been widely discussed, however little is known about how well they can read dynamic texts and what skills are required for this kind of reading. AIM to evaluate the skills involved in reading movie subtitles of 2nd and 4th graders of students at the a public school. METHOD analysis of the level and skills needed for m...

Sentiment analysis, the automatic extraction of opinion from text, has been enjoying some attention in the media during the national elections. In this thesis, we will discuss the classification of movie reviews as ’thumbs up’ or ’thumbs down’. Movie reviews are interesting and difficult because of the wide range of topics in movies. The reviews are HTML web pages, which poses an interesting ch...