期刊名称：International Journal of Computer Science and Information Technologies
电子版ISSN：0975-9646
出版年度：2015
卷号：6
期号：3
页码：2303-2313
出版社：TechScience Publications
摘要：Online social media websites represent how fundamental information is created, transferred and consumed. Social media, user generated content in the form of comments, blog posts and tweets establish a connection between the producers and the consumers of information. Today’s world is connected to each other via social network like Twitter millions of people connected to each other through that network. Tracking the pulse of the social media contain, enables companies to gain feedback and insight in how to improve and market products better. It continues to offer new opportunities for organizations to directly interact with their customers or audience, the aimed at monitoring the online reputation of an organization, brand or person, social media and search engine result. This research paper uses a survey approach for movie sales prediction. This paper analyses, impact of the positive, negative, strongly positive and strongly negative online reviews of movies on the audience. It should be noted that the user feedback is given prior to watching the movie only on the basis of the online reviews. The result of this research will help the film industry to effectively address and meet the expectations of customers and stakeholder. This paper also investigates techniques for twitter data extraction using an API key.
关键词：Twitter; Sentiment Analysis; ANOVA; Prediction;Social Media; Data Mining.
