Collaborative Innovation of Online Ideological Education Platform with Data Mining and Text Recognition Algorithms

Abstract

With modern rapid and emerging development trend of Internet technology, great number of data are accumulated in the society, which leads to a larger data scale. With the target to discover the potential value of general data, it has been usually necessary to flexibly apply various data mining algorithms based on the actual situation and scenarios. The implementation of data mining algorithm is faced with great challenges in terms of execution efficiency, algorithm parallelization and platform usability. Different from horizontal text, multi-directional text and curved text, the surface text of surface object has some geometric features. In the detection phase, the text box label of surface text needs more vertex coordinates to express its spatial information, which makes it difficult to label large-scale samples. In the recognition stage, it is more difficult to recognize the surface text of the surface object than the regular text on the plane. At present, several universities ignore the importance to the construction of political education micro platform, and fail to develop a scientific micro platform according to the actual needs and interests of students. Based on this situation, this paper applies the data mining models and text recognition algorithm to study innovative smart political education platform.