[Purpose/Significance] Since there is no relatively complete and widely accepted method to calibrate the participation behavior of the online public opinion audience, this paper proposes and designs the B-S portrait of the online public opinion audience as the calibration method. [Method/Process] It carried out the multi-dimensional analysis of audience portrait model, and constructed participation behavior identification models and emotional feature analysis models, which were integrated into traditional user portrait methods. Finally, it proposed a framework for online public opinion audience portrait models in mobile environments. [Result/Conclusion] The calibration model can not only provide guidance for the in-depth and multi-dimensional development of the calibration research of online public opinion audience participation behavior, but also provide tools for public opinion management departments to observe, measure and calibrate audience behavior from a more scientific perspective.
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