Exploring Mobile Application User Experience Through Topic Modeling: Corpus (SalesForce online reviews)
The dataset/corpus is supplementary material for the paper titled "The dataset corpus is supplementary material for the paper "Exploring mobile application user experience through topic modeling" by Olivera Grljević, Mirjana Marić, and Rade Božić.
This paper is focused on identifying factors influencing satisfaction and dissatisfaction with the SaleForce mobile application, which impact the user experience and consequently loyalty. Since online reviews reflect positive, negative, or neutral opinions, attitudes, and sentiments towards a certain entity [26], we restricted our research to online reviews of the SalesForce application. The data is collected from the Google Play Store[1] using a custom-written Python code for scraping the websites’ content.
Corpus contains 9.296 online reviews of the mobile application, after addressing multilingualism in data by translating it to English.
When using dataset, please use the following reference:
Grljević, O., Marić, M., & Božić, R. (2025). Exploring Mobile Application User Experience Through Topic Modeling. Sustainability, 17(3), 1109. https://doi.org/10.3390/su17031109
[1] The URL location of SalesForce mobile application on Google Play Store: https://play.google.com/store/apps/details?id=com.salesforce.chatter&hl=en&gl=US
