Development and Application of Network Data Mining in English Corpus Software Design

With the development of technology and the progress of the times, the existence of data information has penetrated into various industries in society along with network and computer technology. Today, online office and decision-making are commonplace. How to use network data mining technology in the design of English corpus software to accurately find valuable data and information. This article first explores big data, then explains some of the changes that big data has brought to the field of corpus design, and then explores the important achievements and breakthroughs that can be achieved by combining big data methods in corpus design. The questionnaire survey method was used to investigate and statistically analyze the data mining methods used in the corpus. From the survey results, it can be seen that there are more staff using the PageRank and Apriori algorithms, as well as the C.45 algorithm, while the proportion of staff using K-means is relatively small, indicating that these three algorithms have higher efficiency and wider usage. Therefore, data mining based on big data can significantly improve the efficiency of corpus design.