Abstract
Due to the increasing amount of information available on the Web, sentiment analysis aiming at an automatic identification of the emotional load of texts is growing in importance. The aim of our research is to devise a reliable method for analsing sentiment in Polish texts, which requires developing adequate polarity lexical resources. In this paper, we discuss a method of building a fine-grained polarity lexicon for Polish based on custom-built review corpora. The compiled lexicon is subsequently tested in the field of sentiment analysis reaching the accuracy level of up to 79%.
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Haniewicz, K., Rutkowski, W., Adamczyk, M., Kaczmarek, M. (2013). Towards the Lexicon-Based Sentiment Analysis of Polish Texts: Polarity Lexicon. In: Bǎdicǎ, C., Nguyen, N.T., Brezovan, M. (eds) Computational Collective Intelligence. Technologies and Applications. ICCCI 2013. Lecture Notes in Computer Science(), vol 8083. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-40495-5_29
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DOI: https://doi.org/10.1007/978-3-642-40495-5_29
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