Feedback and comments on mobile commerce applications are extremely useful valuable information sources that reflect the quality of products or services to determine whether data is positive negative help businesses monitor brand product sentiment in customers’ feedback understand needs. However, increasing number makes it increasingly difficult customers using manual methods. To solve this pro...

Digital journalism has faced a dramatic change and media companies are challenged to use data science algorithms be more competitive in Big Data era. While this is relatively new area of study the landscape, machine learning artificial intelligence increased substantially over last few years. In particular, adoption models for personalization recommendation attracted attention several publisher...

This study looked through the text mining analysis to check status of virtual assistant service, and explore needs consumers, present consumer-oriented directions. Trendup 4.0 was used analyze keywords AI services in Online News social media from 2016 2020. The R program collect consumer comment data implement Topic Modeling analysis. According analysis, number mentions mass has steadily increa...

Comment on " Radiative decays, nonet symmetry and SU(3) breaking ". Abstract We comment on the paper We show that the decay φ → π 0 γ is absent in model of the nonet symmetry and SU(3) breaking suggested by authors.

In this paper we aim to model the relationship between the text of a political blog post and the comment volume—that is, the total amount of response—that a post will receive. We seek to accurately identify which posts will attract a high-volume response, and also to gain insight about the community of readers and their interests. We design and evaluate variations on a latentvariable topic mode...

In their 2017 article, Mannion and Exworthy provide a thoughtful and theory-based analysis of two parallel trends in modern healthcare systems and their competing and conflicting logics: standardization and customization. This commentary further discusses the challenge of treatment decision-making in times of evidence-based medicine (EBM), shared decision-making and personalized medicine. From ...