With　the　high　integration　of　science　and　technology　development,　how　to　early　identify　technology　opportunity　is　crucial　for　the　governments’　and　enterprises’　research　and　development　(R&D)　strategic　planning　and　innovation　policy　to　gain　a　first-mover　advantage　in　the　market　competition　environment.　Most　researchers　have　applied　Subject-Action-Object　(SAO)　semantic　mining　approach　or　outlier　detection　method　to　mine　scientific　papers　or　patent　information　for　identifying　technology　opportunity.　However,　few　researchers　have　combined　information　from　both　scientific　papers　and　patents　to　identify　technology　opportunity　by　integrating　SAO　semantic　mining　and　outlier　detection　method.　Therefore,　this　paper　proposes　a　research　framework　that　uses　scientific　papers　and　patents　as　data　resources,　and　integrates　SAO　semantic　mining　and　outlier　detection　method　to　identify　technology　opportunity.　In　this　framework,　we　first　use　the　SAO　semantic　mining　method　to　mine　technical　problems　and　solutions　contained　in　scientific　papers　and　patents　respectively.　Then　we　conduct　comparative　analysis　to　identify　potential　technology　opportunity　in　the　gaps　between　scientific　papers　and　patents.　Secondly,　we　use　a　outlier　detection　method　to　identify　outlier　points　in　scientific　papers,　and　we　incorporate　the　outlier　points　into　the　analysis　scope　of　technology　opportunity　identification.　Finally,　we　combine　the　results　of　SAO　semantic　mining　method　with　outlier　detection　method,　and　use　expert　knowledge　to　identify　technology　opportunity.　The　triboelectric　nanogenerator　technology　is　selected　as　a　case　study　to　verify　the　feasibility　of　this　framework.　The　results　show　that　the　framework　can　effectively　and　comprehensively　identify　technology　opportunity　from　the　two　levels　of　technical　problems　and　technical　solutions.　This　paper　contributes　to　technology　opportunity　study,　and　will　be　of　interest　to　triboelectric　nanogenerator　technology　R&D　experts.　©　2023　Elsevier　Inc.