STUDY OF PERSONAL REVIEWS OF MOBILE USERS
Mr. M. Ramnath, C. Yesubai Rubavathi · 2023
Users are now able to provide feedback on a wide range of service providers at any time, thanks to the proliferation of mobile apps for internet-connected devices. Nonetheless, sadly, to date, only a small number of classification technique researches have been implemented in this field. In this article, we analyzed more than 1,400,000 evaluations of actual mobile apps and found the following distinguishing features: There is a significant polarity difference, a short average length, a large length span, a power-law distribution, and a power-law distribution. Several studies have compared various emotion categorization algorithms, feature representations, and review times based on the aforementioned criteria.