KAMPAS, D. (2016). Topic Identification Considering Word Order by Using Markov Chains [Doctoral thesis, Unilu - University of Luxembourg]. ORBilu-University of Luxembourg. https://orbilu.uni.lu/handle/10993/27805 |
KAMPAS, D., SCHOMMER, C., & SORGER, U. (2014). A Hidden Markov Model to detect relevance in nancial documents based on on/off topics. European Conference on Data Analysis. Peer reviewed |
SCHOMMER, C., KAMPAS, D., & BERSAN, R. (2013). A Prospect on How to Find the Polarity of a Financial News by Keeping an Objective Standpoint. In Proceedings ICAART 2013. Peer reviewed |
KAMPAS, D., & SCHOMMER, C. (2013). A Hybrid Classification System to find News that is relevant. ECDA 2013. Peer reviewed |