@misc{15417,
  author = {Aanund Nordskog and P{\r a}l Halvorsen and Steven Hicks and H{\r a}kon Stensland and Hugo Hammer and Dag Johansen and Michael Riegler},
  title = {Semantic Analysis of Soccer News for Automatic Game Event Classification},
  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{\textquoteright}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.},
  year = {2019},
  journal = {2019 International Conference on Content-Based Multimedia Indexing (CBMI)},
  publisher = {IEEE},
}