The　diversity　and　dynamics　of　quality　index　information　bring　challenges　to　quality　assessment　of　experience　products.　This　paper　proposes　a　three-stage　quality　assessment　method　based　on　grounded　theory,　association　analysis,　combined　weighting,　sentiment　analysis　and　cloud　model.　Firstly,　based　on　online　reviews,　the　true　quality　indicators　of　animation　are　recognized　by　grounded　theory,　and　the　relationships　among　quality　indicators　are　identified　by　association　analysis.　Secondly,　by　introducing　the　principle　of　gaming,　the　combined　weighting　based　on　network　opinion　leader　and　network　opinion　follower　is　proposed.　Finally,　an　animation　comprehensive　quality　evaluation　model　based　on　cloud　model　and　sentiment　analysis　is　proposed.　The　feasibility　and　practicability　of　the　method　are　verified　on　multiple　animation　datasets,　and　the　quality　levels　of　different　sales　products　are　obtained,　providing　a　direction　for　animation　quality　improvement.　Meanwhile,　this　paper　further　demonstrates　the　method＇s　superiority　by　comparing　it　with　other　methods.