Affordable Annotations of the Mobile App Reviews

Authors

GRÁC Marek MASOPUSTOVÁ Markéta VALÍČKOVÁ Marie

Type Article in Periodical
Magazine / Source Jazykovedný časopis
MU Faculty or unit

Faculty of Arts

Citation
Web http://dx.doi.org/10.2478/jazcas-2019-0077
Doi http://dx.doi.org/10.2478/jazcas-2019-0077
Keywords sentiment polarity; topics analysis; annotation
Description This paper focuses on the use-case study of the annotation of the mobile app reviews from Google Play and Apple Store. These annotations of sentiment polarity were created for later use in the automatic processing based on machine learning. This should solve some of the problems encountered in the previous analyses on the Czech language where data assumptions play a greater role than annotation itself (due to the financial constraints). Our proposal shows that some of the assumptions used for English do not apply to Czech and that it is possible to annotate such data without extensive financing.
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