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

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Knowledge and Learning (IJKL):
Login with your Inderscience username and password:

    Username:        Password:         

Forgotten your password?

Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email