Abstract
Nowadays, analysis of opinions in online media such as newspapers, social media, forums, blogs, product review sites, has a key role in the human life. In this context, opinion mining is one of the fastest growing research areas in natural language processing that aims to extract and organize opinions from users. Machine Learning techniques represent a powerful instrument to analyze and understand correctly text data. In this paper we present a thorough experimental evaluation of machine learning algorithms used for opinion mining in Albanian language. The experimental results are interpreted with respect to various evaluation criteria for the different algorithms showing interesting features on the performance of each algorithm.
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Kote, N., Biba, M., Trandafili, E. (2018). A Thorough Experimental Evaluation of Algorithms for Opinion Mining in Albanian. In: Barolli, L., Xhafa, F., Javaid, N., Spaho, E., Kolici, V. (eds) Advances in Internet, Data & Web Technologies. EIDWT 2018. Lecture Notes on Data Engineering and Communications Technologies, vol 17. Springer, Cham. https://doi.org/10.1007/978-3-319-75928-9_47
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DOI: https://doi.org/10.1007/978-3-319-75928-9_47
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