User Reviews of Personal Safety Applications

This dataset contains user reviews of personal safety applications, collected for the purpose of analyzing user experiences, sentiment, and feedback on app effectiveness. The dataset includes four columns:
id: a unique identifier for each review
app_name: the name of the personal safety application being reviewed
rating: a numerical rating of the app (1 = lowest, 5 = highest)
review_text: free-text feedback provided by the user
The dataset can support research in sentiment analysis, opinion mining, app usability studies, natural language processing (NLP), and user behavior analysis. It can also serve as a benchmark dataset for training and evaluating machine learning models on text classification, rating prediction, and review summarization.
Reviews may contain informal language, spelling variations, and abbreviations, reflecting natural user writing.
This dataset aims to provide researchers with a resource for studying how users perceive and interact with personal safety applications, contributing to fields such as public safety, human-computer interaction, and AI-based app evaluation.