| dc.contributor.author | Nordskog, Aanund Jupskaas | |
| dc.contributor.author | Halvorsen, Pål | |
| dc.contributor.author | Hicks, Steven | |
| dc.contributor.author | Stensland, Haakon | |
| dc.contributor.author | Hammer, Hugo Lewi | |
| dc.contributor.author | Johansen, Dag | |
| dc.contributor.author | Riegler, Michael | |
| dc.date.accessioned | 2020-01-10T12:35:29Z | |
| dc.date.accessioned | 2020-05-05T13:06:53Z | |
| dc.date.available | 2020-01-10T12:35:29Z | |
| dc.date.available | 2020-05-05T13:06:53Z | |
| dc.date.issued | 2019-10-21 | |
| dc.identifier.citation | Nordskog, Halvorsen P, Hicks S, Stensland, Hammer HL, Johansen D, Riegler M: Semantic Analysis of Soccer News for Automatic Game EventClassification. In: Gurrin CG, Jónsson BT, Peteri R. Proceedings of Content Based Multimedia Information (CBMI 2019), 2019. IEEE conference proceedings | en |
| dc.identifier.isbn | 978-1-7281-4673-7 | |
| dc.identifier.issn | 1949-3991 | |
| dc.identifier.issn | 1949-3983 | |
| dc.identifier.uri | https://hdl.handle.net/10642/8508 | |
| dc.description.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. | en |
| dc.description.sponsorship | Norges forskningsråd: 250138
Norges forskningsråd: 263248 | en |
| dc.language.iso | en | en |
| dc.publisher | IEEE | en |
| dc.relation.ispartof | 2019 International Conference on Content-Based Multimedia Indexing (CBMI) | |
| dc.relation.ispartofseries | International Workshop on Content-Based Multimedia Indexing, CBMI; 2019 International Conference on Content-Based Multimedia Indexing (CBMI) | |
| dc.relation.uri | https://www.simula.no/file/cbmi2019aanundfootballnewspdf/download | |
| dc.rights | © 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including
reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or
reuse of any copyrighted component of this work in other works. DOI: https://dx.doi.org/10.1109/CBMI.2019.8877417 | en |
| dc.subject | Sports | en |
| dc.subject | Deep learning | en |
| dc.subject | Support vector machines | en |
| dc.subject | Machine learning algorithms | en |
| dc.subject | Training | en |
| dc.subject | Databases | en |
| dc.title | Semantic Analysis of Soccer News for Automatic Game EventClassification | en |
| dc.type | Conference object | en |
| dc.date.updated | 2020-01-10T12:35:29Z | |
| dc.description.version | acceptedVersion | en |
| dc.identifier.doi | https://dx.doi.org/10.1109/CBMI.2019.8877417 | |
| dc.identifier.cristin | 1735003 | |
| dc.relation.projectID | Norges forskningsråd: 250138 | |
| dc.relation.projectID | Norges forskningsråd: 263248 | |
| dc.source.isbn | 978-1-7281-4673-7 | |
