Associate remark analysis away from matchmaking programs centered on text mining

Conceptual

Toward carried on development of i . t, more folks are extremely to use dating programs, and development has been made worse by COVID-19 pandemic on these decades. not, discover an occurrence that every from reading user reviews of main-stream relationships programs is negative. To review it sensation, you will find utilized point model to mine bad ratings from main-stream relationships programs, and you may built a-two-phase servers understanding model having fun with research dimensionality prevention and you may text group so you’re able to identify user reviews away from dating programs. The analysis overall performance show that: first, the reasons for the newest negative analysis off relationship apps was mostly focused about recharging mechanism, bogus profile, membership and you can advertising force process and matching device from the applications, suggested corresponding upgrade suggestions are recommended from the you; next, playing with dominant role data to attenuate the dimensionality of text vector, and then having fun with XGBoost model to know the lower-dimensional investigation once oversampling, a much better group reliability regarding user reviews can be obtained. Develop These findings may help relationship applications workers to improve qualities and achieve sustainable team procedures of its programs. Continue reading