Authors: Konstanty Haniewicz; Monika Kaczmarek; Magdalena Adamczyk; Wojciech Rutkowski
Addresses: Poznań University of Economics, Poznań 61-875, Poland ' Information Systems and Enterprise Modelling, University of Duisburg-Essen, Essen 45141, Germany ' University of Zielona Góra, Zielona Góra 65-417, Poland ' RXP, Poznań 60-501, Poland
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.
Keywords: polarity lexicon; Polish text analysis; random walk; sentiment analysis; semantic network; Polish language; customisation; collaboration.
International Journal of Knowledge and Learning, 2014 Vol.9 No.1/2, pp.124 - 141
Received: 17 Jun 2013
Accepted: 16 Jun 2014
Published online: 31 Jan 2015 *