Machine-learning-based text classification is one of the leading research areas and has a
wide range of applications, which include spam detection, hate speech identification …

Understanding how to assess the learners' evaluation has become an essential topic for
both academics and practitioners as blended mobile learning applications have proliferated …

The advent of Industry 5.0 has brought a wealth of digital information to mobile app stores.
With the help of emerging technologies such as machine learning and explainable artificial …

Context Automatic classification of mobile applications users' feedback is studied for
different areas of software engineering. However, supervised classification requires a lot of …

The goal of this study is to apply machine learning (ML) approaches to assess user
sentiment and predict review ratings for Bangladeshi shopping apps. The data for this study …

Businesses must be aware of customer sentiment in order to provide the best customer
service. Instead of using cash or a credit card, a user can use a payment app on a mobile …

Mobile app reviews are valuable for gaining user feedback on features, usability, and areas
for improvement. Analyzing these reviews manually is difficult due to volume and structure …

Purpose-This paper explores the goal and potential of integrating machine learning
technologies into archives and records management practices. As the volume and …

This paper validates the research hypothesis placing the thematic categorization of records
at the center of the discussion. It highlights the necessity of deepening the standardization of …

This paper researches the intentions and the potential benefits associated with the
integration of deep and machine learning technologies into archival and records …