Affiliate remark studies out-of dating apps according to text exploration
Opportunities Conceptualization, Data curation, Authoritative analysis, Studies, Methodology, Application, Supervision, Validation, Visualization, Creating – fresh write, Writing – comment & modifying
- Qian Shen,
- Siteng Han,
- Yu Han,
- Xi Chen
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Conceptual
Into continuing growth of information technology, more folks are very to utilize internet dating apps, therefore the development might have been exacerbated from the COVID-19 pandemic in these many years. Yet not, you will find an event that most regarding reading user reviews of popular relationship applications is actually bad. To study this sensation, we have utilized material model to help you mine negative critiques of mainstream relationships programs, and built a two-phase host studying design having fun with research dimensionality protection and text group so you’re able to identify reading user reviews away from matchmaking apps. The research efficiency show that: first of all, the reasons into the most recent negative feedback off matchmaking apps are primarily focused regarding charging device, bogus levels, subscription and you can advertisements force mechanism and you may matching device regarding programs, suggested associated improve pointers is recommended by us; secondly, using dominant role investigation to attenuate the newest dimensionality of the text message vector, after which having fun with XGBoost model understand the low-dimensional investigation after oversampling, a better class reliability out of user reviews can be acquired.Lees verder »Affiliate remark studies out-of dating apps according to text exploration