Monitoring　the　emergence　of　emerging　technologies　helps　managers　and　decision　makers　to　identify　development　trends　in　emerging　technologies　is　crucial　for　government　research　and　development　(R&D),　strategic　planning,　social　investment,　and　enterprise　practices.　Researchers　usually　use　academic　papers　and　patent　data　to　identify　and　monitoring　the　trends　of　emerging　technologies　from　a　technological　perspective,　but　they　rarely　make　use　of　social　media　data　(e.g.,　such　as　Twitter　data)　related　to　emerging　technologies.　Analysis　of　this　social　media　data　is　of　great　significance　to　understand　the　emergence　of　emerging　technologies　and　gain　insight　into　development　trends.　Therefore,　this　paper　proposes　a　framework　that　uses　patent　analysis　and　Twitter　data　mining　to　monitoring　the　emergence　of　emerging　technologies　and　identify　changing　trends　of　these　emerging　technologies.　The　perovskite　solar　cell　technology　is　selected　as　a　case　study.　In　this　case,　we　used　patent　analysis　to　monitoring　the　evolutionary　path　of　perovskite　solar　cell　technology.　We　applied　Twitter　data　mining　to　analyze　Twitter　users＇　sense　of,　response　to,　and　expectations　for　this　perovskite　solar　cell　technology.　We　also　identified　the　professional　types　of　Twitter　users　and　examined　changes　in　their　topics　of　interest　over　time　to　track　the　emergence　of　perovskite　solar　cell　technology.　We　analyzed　a　comparison　of　the　results　of　patent　analysis　and　Twitter　data　mining　to　identify　development　trends　of　perovskite　solar　cell　technology.　This　paper　contributes　to　our　understanding　of　how　technologies　emerge　and　develop,　as　well　as　the　technology　forecasting　and　foresight　methodology,　and　will　be　of　interest　to　solar　photovoltaic　technology　R&D　experts.