Authors | A. Nordskog, P. Halvorsen, S. Hicks, H. K. Stensland, H. L. Hammer, D. Johansen and M. Riegler |
Title | Semantic Analysis of Soccer News for Automatic Game Event Classification |
Afilliation | Machine Learning |
Project(s) | Simula Metropolitan Center for Digital Engineering, Department of Holistic Systems |
Status | Published |
Publication Type | Proceedings, refereed |
Year of Publication | 2019 |
Conference Name | 2019 International Conference on Content-Based Multimedia Indexing (CBMI) |
Publisher | IEEE |
Abstract | We are today overwhelmed with information, of which an important part is news. Sports news, in particular, has become very popular, where soccer makes up a big part of this coverage. For sports fans, it can be a time consuming and tedious to keep up with the news that they really care about. In this paper, we present different machine learning methods applied to soccer news from a Norwegian newspaper and a TV station's news site to summarize the content in a short and digestible manner. We present a system to collect, index, label, analyze, and present the collected news articles based on the content. We perform a thorough comparison between deep learning and traditional machine learning algorithms on text classification. Furthermore, we present a dataset of soccer news which was collected from two different Norwegian news sites and shared online.
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Citation Key | 26708 |