Sentiment analysis resources for Polish: a collaborative approach
by Konstanty Haniewicz; Monika Kaczmarek; Magdalena Adamczyk; Wojciech Rutkowski
International Journal of Knowledge and Learning (IJKL), Vol. 9, No. 1/2, 2014

Abstract: With a rapid increase in the amount of information available on the web, there is a growing need for sentiment analysis. The overall objective of our ongoing research is to work out a robust method of detecting sentiment in Polish texts by means of developing relevant polarity lexical resources. The present study attempts to illuminate the process of creating a general polarity lexicon for Polish based on outputs provided by a customised Markov Random Walk algorithm, operating on an independently built semantic network for the Polish language. The customisations include a specially developed application that allows for a collaborative evaluation of the algorithm's output so that it can be used as a newest of parameters in a subsequent iteration of experiments. The results are compared with both the findings of our previous studies as well as those reported by other researchers.

Online publication date: Sat, 31-Jan-2015

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