Precision dating complaints

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With the continuous development of information technology, more and more people have become to use online dating apps, and the trend has been exacerbated by the COVID pandemic in these years. However, there is a phenomenon that most of user reviews of mainstream dating apps are negative. To study this phenomenon, we have used topic model to mine negative reviews of mainstream dating apps, and constructed a two-stage machine learning model using data dimensionality reduction and text classification to classify user reviews of dating apps. The research results show that: firstly, the reasons for the current negative reviews of dating apps are mainly concentrated in the charging mechanism, fake accounts, subscription and advertising push mechanism and matching mechanism in the apps, proposed corresponding improvement suggestions are proposed by us; secondly, using principal component analysis to reduce the dimensionality of the text vector, and then using XGBoost model to learn the low-dimensional data after oversampling, a better classification accuracy of user reviews can be obtained. We hope These findings can help dating apps operators to improve services and achieve sustainable business operations of their apps. This is an open access article distributed under the terms of the Creative Commons Attribution License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Data Availability: All the data are available on figshare. At least million people worldwide use digital dating services every month, a study of Smith and Duggan [ 1 ] found that one in ten Americans has used online dating websites or mobile dating apps; sixty-six percent of online daters have met someone they know through dating websites or apps, and 23 percent have met spouses or long-term partners through these sites or apps. Due to the COVID pandemic since , many activities of people have shifted from offline to online. It has also led to a significant increase in the frequency of online dating app users using them.

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It was his job to predict distant developments, covert motives, hidden risks, and shortly into our brief relationship he turned his powers of divination on me. He took it in stride—he lived and breathed all things mercenary—but he did issue a polite warning. I wanted investment bankers, private equity associates, traders. I maintain that my motives were not as Machiavellian as Jake would go on to imply. But Jake was probably right that my creative and libidinal impulses became, for a time, precariously interfused. My interest in finance men as romantic material was as mysterious to me as my interest in finance as material for a book.

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How to be better at online dating, according to psychology

Morning Rundown: Biden's fight against Democratic 'elites,' GOP policy draft softens stance on some social issues, and prolific sperm donor slams Netflix series. Reis studies social interactions and the factors that influence the quantity and closeness of our relationships. He coauthored a review article that analyzed how psychology can explain some of the online dating dynamics. You may have read a short profile or you may have had fairly extensive conversations via text or email.

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