China　has　implemented　the　intellectual　property　strategy　since　2008　to　support　innovation-driven　development.　However,　statistical　data　issued　during　the　＂12th　Five-Year　Plan＂　(2011-2015)　showed　that　there　are　certain　deviations　between　the　actual　and　expected　intellectual　property　strategy＇s　goals.　To　effectively　diagnose　the　goal　deviation,　an　algorithm　combining　the　latent　Dirichlet　allocation　and　bimodal　network　based　on　policy　text　was　proposed.　In　this　method,　topics　in　intellectual　property　policy　texts　of　China＇s　provincial　regions　were　extracted　through　the　latent　Dirichlet　allocation　model,　and　a　bimodal　network　centered　at　provincial　administration　district-policy　topics　was　constructed.　Subsequently,　the　characteristics　of　the　goal　execution　deviation　of　the　IPS　in　the　provincial　government　were　explored　based　on　the　centrality　of　the　bimodal　network　and　singular　value　decomposition.　Finally,　some　diagnosis　results　and　conclusions　were　demonstrated　to　provide　reasonable　methods　for　evaluation　of　national　strategic　planning　and　promoting　policy　performance.