Identifying　the　development　trends　of　emerging　technologies　with　disruptive　potential　as　early　as　possible　is　crucial　for　enterprise　research　and　development　(R&D)　investment　planning　and　government　R&D　strategic　planning.　Many　researchers　have　used　academic　papers　and　patent　data　to　identify　trends　in　emerging　technologies,　although　they　rarely　have　made　use　of　web　news　data　focused　on　emerging　technologies.　Web　news　contains　a　large　amount　of　social　awareness　data　that　represents　the　public＇s　sense　of　and　response　to　emerging　technologies,　and　the　social　awareness　data　is　of　great　significance　for　identifying　the　development　trends　of　emerging　technologies.　Therefore,　this　article　presented　a　research　framework　to　identify　the　development　trends　of　emerging　technologies　using　patent　analysis　and　web　news　data　mining.　In　the　research　framework,　first,　we　have　used　patent　analysis　to　analyze　the　evolution　topics　of　these　emerging　technologies,　and　have　applied　the　topic　model　to　study　the　changing　patterns　of　publics＇　topics　of　concern　regarding　emerging　technologies　contained　in　web　news.　Second,　we　have　made　a　comparison　analysis　of　the　results　of　patent　analysis　and　the　public＇　sense　of　and　response　to　emerging　technologies　contained　in　web　news.　Then,　we　have　applied　an　improved　sentiment　analysis　to　study　the　changing　patterns　of　publics＇　expectations　for　emerging　technologies　contained　in　web　news.　Finally,　by　studying　the　changes　in　publics＇　topics　of　concern　and　publics＇　expectations　for　emerging　technologies　over　time,　we　have　identified　the　development　trends　of　emerging　technologies.　The　perovskite　solar　cells　technology　is　used　as　a　case　study　to　analyze　the　effectiveness　and　feasibility　of　the　framework.　This　article　provides　a　new　research　perspective　to　identify　technology　trends,　and　contribute　to　the　technology　forecasting　methodology.