How　to　detect　and　identify　the　future　trends　of　emerging　technologies　as　early　as　possible　is　crucial　for　government　R&D　strategic　planning　and　enterprises＇　practices.　To　avoid　the　weakness　of　using　only　scientific　papers　or　patents　to　study　the　development　trends　of　emerging　technologies,　this　paper　proposes　a　framework　that　uses　scientific　papers　and　patents　as　data　resources　and　integrates　the　text　mining　and　expert　judgment　approaches　to　identify　technology　evolution　paths　and　forecast　technology　development　trends　within　the　short　term.　The　perovskite　solar　cell　technology　is　selected　as　a　case　study.　In　this　case,　the　text　mining　and　expert　judgment　methods　are　applied　to　analyze　the　technology　evolution　path,　and　gaps　analysis　between　science　and　technology　is　used　to　forecast　the　technology　development　trend.　This　paper　will　contribute　to　the　technology　forecasting　and　foresight　methodology,　and　will　be　of　interest　to　solar　photovoltaic　technology　R&D　experts.