In　order　to　obtain　a　wider　public　view　on　the　Mass　Innovation　and　Entrepreneurship　policy　and　provide　the　basis　for　perfecting　relevant　policies,　this　paper　proposes　the　method　of　hotspot　identification　and　emotion　analysis　based　on　microblog,　that　is,　based　on　the　definition　of　microblog　heat,　the　method　first　screens　out　popular　microblogs　that　arouses　the　social　attentions;　and　then　pre-process　the　microblog　about　»Mass　Innovation　and　Entrepreneurship»　of　hot　microblogs,　identify　hot　words,　construct　co-word　matrix　and　dissimilarity　matrix　with　the　hierarchical　clustering　method,　thus　identify　the　hotspot　of　hot　microblogs　on　»Mass　Innovation　and　Entrepreneurship».　On　the　basis　of　extending　the　existing　emotional　dictionary,　the　emotion　analysis　method　based　on　dictionary　and　rule　is　adopted　to　analyze　the　hotspots　of　microblog.　The　results　show　that　the　emotion　classification　method　based　on　the　extended　emotional　dictionary　improves　the　accuracy　by　about　14%　with　respect　to　the　emotion　classification　without　emotional　dictionary　extension,　and　better　effect　is　obtained.　This　method　is　applied　in　the　analysis　of　the　Mass　Innovation　and　Entrepreneurship　policy,　which　proves　that　the　proposed　public　concerned　hotspot　identification　analysis　method　and　the　emotion　classification　method　are　feasible,　and　the　suggestion　of　perfecting　the　Mass　Innovation　and　Entrepreneurship　policy　is　put　forward.1　©　2018　IEEE.