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Affiliate remark investigation of dating apps predicated on text exploration Abstract Towards the carried on growth of information technology, more individuals are to utilize internet dating software, as well as the trend could have been exacerbated from the COVID-19 pandemic on these decades. But not, there's an experience that out of reading user reviews from traditional dating software try negative. To review so it experience, we have utilized situation design to exploit negative recommendations from traditional relationships programs, and you may constructed a-two-phase machine discovering design playing with studies dimensionality reduction and you will text message category so you can categorize user reviews regarding dating software. The study results reveal that: firstly, the causes into newest negative critiques of dating programs are primarily focused on billing procedure, phony levels, subscription…