Predicting TV Audience Rating with Social Media
نویسندگان
چکیده
In Taiwan, there are different types of TV programs, and each program usually has its broadcast length and frequency. We accumulate the broadcasted TV programs’ word-ofmouth on Facebook and apply the Backpropagation Network to predict the latest program audience rating. TV audience rating is an important indicator regarding the popularity of programs and it is also a factor to influence the revenue of broadcast stations via advertisements. Currently, the present media environments are drastically changing our media consumption patterns. We can watch TV programs on YouTube regardless location and timing. In this paper, we develop a model for predicting TV audience rating. We also present the audience rating trend analysis on demo system which is used to describe the relation between predictive audience rating and Nielsen TV rating.
منابع مشابه
Sixth International Joint Conference on Natural Language Processing Proceedings of the Workshop on Natural Language Processing for Social Media (SocialNLP)
In Taiwan, there are different types of TV programs, and each program usually has its broadcast length and frequency. We accumulate the broadcasted TV programs’ word-ofmouth on Facebook and apply the Backpropagation Network to predict the latest program audience rating. TV audience rating is an important indicator regarding the popularity of programs and it is also a factor to influence the rev...
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