Publisher : Korean Data and Information Science Society
DOI : 10.7465/jkdi.2015.26.6.1259
Title & Authors
Study on prediction for a film success using text mining Lee, Sanghun; Cho, Jangsik; Kang, Changwan; Choi, Seungbae;
Recently, big data is positioning as a keyword in the academic circles. And usefulness of big data is carried into government, a local public body and enterprise as well as academic circles. Also they are endeavoring to obtain useful information in big data. This research mainly deals with analyses of box office success or failure of films using text mining. For data, it used a portal site `D` and film review data, grade point average and the number of screens gained from the Korean Film Commission. The purpose of this paper is to propose a model to predict whether a film is success or not using these data. As a result of analysis, the correct classification rate by the prediction model method proposed in this paper is obtained 95.74%.
Correct classification rate;opinion mining;singular value decomposition;text mining;
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