Regional　policy　on　science　and　technology　innovation　has　an　important　effect　on　national　independent　innovation　strategy,　regional　economic　development　and　the　science　and　technology　innovation　ability　of　intraregional　enterprises.　This　paper　discusses　research　on　regional　science　and　technology　innovation　policy　evaluation　using　Zhongguancun　Science　Park　as　an　example.　We　use　the　policy　modeling　consistency　(PMC)　index　model　combined　with　the　text-mining　method　to　perform　a　quantitative　evaluation　of　regional　science　and　technology　innovation　policy　to　provide　both　a　quantitative　evaluation　framework　for　existing　policy　and　decision　support　for　the　implementation,　adjustment,　correction,　and　extension　of　new　policy.　The　empirical　results　show　that　the　PMC　index　for　Policy　2　is　lower　than　for　the　other　two,　although　there　is　still　a　comparatively　large　amount　of　room　for　improvement.　In　general,　however,　the　three　policies　are　within　a　reasonable　range.　Finally,　limitations　and　further　research　directions　are　proposed.