Affordable Annotations of the Mobile App Reviews
| Authors | |
|---|---|
| Year of publication | 2019 |
| Type | Article in Periodical |
| Magazine / Source | Jazykovedný časopis |
| MU Faculty or unit | |
| 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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