Abstract
Opinion mining is an important tool to find out what others think about something. Most of methods used for opinion mining are based on machine learning. In this paper we present an experimental evaluation of machine learning algorithms used for opinion mining in a multi-domain corpus in Albanian language. We have created 11 multi-domains corpuses combining the opinions from 5 different topics. The opinions are classified as positive or negative. All the corpuses are used to train and test for opinion mining the performance of 50 classification algorithms. Out of these, there are seven best performing algorithms out of which three are based on Naïve Bayes.
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Kote, N., Biba, M., Trandafili, E. (2018). An Experimental Evaluation of Algorithms for Opinion Mining in Multi-domain Corpus in Albanian. In: Ceci, M., Japkowicz, N., Liu, J., Papadopoulos, G., Raś, Z. (eds) Foundations of Intelligent Systems. ISMIS 2018. Lecture Notes in Computer Science(), vol 11177. Springer, Cham. https://doi.org/10.1007/978-3-030-01851-1_42
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