With　the　rapid　development　of　Internet　and　information　technology,　social　media　has　been　growing　fast.　A　large　amount　of　social　awareness　data　which　represent　the　public＇s　sensing　and　response　to　emerging　technologies　contained　in　social　media,　such　as　Twitter.　By　analyzing　and　mining　the　social　awareness　data　to　early　detect　the　future　trend　of　emerging　technologies　and　identify　the　commercial　potential　of　emerging　technologies　are　crucial　for　government　research　and　development　strategic　planning,　social　investment　and　enterprises　practices.　For　this　reason,　this　paper　proposes　a　method　to　analyze　the　social　awareness　of　emerging　technologies　based　on　Twitter　data　mining.　Firstly,　the　natural　language　processing　module　in　Thomson　Data　Analyzer　is　applied　to　extract　the　keywords　from　the　tweets.　Secondly,　the　social　awareness　information　is　analyzed　by　applying　text　mining　and　social　network　analysis,　then,　the　social　awareness　of　emerging　technologies　is　mined　by　using　time-slicing-based　awareness　information　map.　Finally,　the　perovskite　solar　cells　technology　is　as　a　case　study　to　analyze　the　effectiveness　and　feasibility　of　the　method.　©　2017　PICMET.