Field investigations, petrology, geochemistry, zircon U-Pb geochronology and Hf isotope analysis were performed to investigate the petrogenesis of Ningjiawan pluton, in an attempt to shed light on its geodynamic significance. LA-ICP-MS zircon U-Pb dating from two samples yielded ages of 2364±6 Ma (MSWD=0.13) and 2360±23 Ma (MSWD=4.0) respectively, indicating that the magma emplaced and crystalized in Paleoproterozoic. The pluton contains high concentrations of alkaline, K and Si, had elevated FeOT/MgO ratios and high field strength element (HFSE) contents, was enriched in Rb, Ba, Th and U elements, was depleted in Ca, Mg, P and Ti, and possessed a “seagull-type” chondrite-normalied REE pattern with significantly negative Eu anomalies (δEu=0.13−0.36) and enrichment in the LREE relative to the HREE, exhibiting the traits of the highly fractionated Itype granite. Relatively high whole-rock Y/Nb values (1.2−2.8), together with positive εHf(t) values (+1.6−+6.4), and tDM1(Hf) and tDM2(Hf) ages of 2449−2629 Ma and 2474−2711 Ma respectively on the zircon grains, signified that they were products derived from magma mixing between crust and depleted mantle sources. Moreover, distinctive negative Nb, P and Ti anomalies and positive Ce, Nd and Zr anomalies, characteristics of continental margin arc, combining with the regional geological background, indicate that Ningjiawan pluton is very likely to form in island arc setting.
Existing sentiment analysis focus on the emotional tendency, which are lack of detailed description of all kinds of emotions, they can’t intuitively reflect the emotional change of social groups. An emotional analysis method based on the combination of dependency parsing and artificial tagging was proposed. Facial expression animation to present emotions analysis was realized. The microblog crowd’s emotion in different areas for different social events was visualized. The experimental results show that the model could closely and effectively simulate the crowd emotion, and it could provide a new way of the analysis of network public opinion based on large data.