Big Data Mining and Analysis of English Teaching Evaluation based on Deep Learning Algorithm

Today, data mining(DM) has improved the efficiency of application data in related industries, and changed the traditional high cost and low efficiency operation mode of various industries. With the support of these technologies, people can find valuable information from the data, fully understand the current situation of the industry development, make more scientific and reasonable decisions, and achieve strategic development. This paper combines deep learning algorithm(DLA) and applies DM technology to mine and analyze big data of English teaching evaluation(ETE). The characteristics of deep learning(DL) and the process of educational DM are discussed; Taking M College as an example, it uses DM technology to cluster the classroom evaluation behavior, and applies the DLA to the actual students’ ETE data. It constructs an ETE system model, which has important practical significance to further mining the ETE data.