The main objective of this paper is to present theoretical study and empirical results that allow to choose some solutions which can be suitable for automated processing consumers’ opinions written in Polish. The possibility of automatically conducted consumers’ opinions analysis and the rules of designing and building such systems for Polish language are crucial questions for specialists in web marketing. In the paper theoretical and practical aspects of sentiment analysis (also known as opinion mining) are discussed. In particular parts of the text firstly the text mining roots of sentiment analysis are pointed. Secondly types of text mining approaches which can be helpful for opinion mining are described. In this part also multi-model approach in sentiment analysis is shown as possible solution for difficulties to prove a superiority of the one method over the other among previously presented methods. Finally statistical translation solution for opinion mining concerning mobile phones is presented. Paper is summarized by pointing out importance of automatically conducted consumers’ opinions analysis solutions, especially in business.
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