Construction of Business English Needs Analysis Model Based on Computer Corpus

In order to meet the needs of business English, this article constructs a computer corpus based business English requirement analysis model. By collecting and organizing relevant corpus in the field of business English, establish a large-scale and diverse corpus. Then, using natural language processing technology and machine learning algorithms, the corpus is analyzed and processed to extract common vocabulary, phrases, and grammatical structures in business English. Next, by clustering and mining association rules on the texts in the corpus, the actual needs and characteristics of business English are discovered. In the process of model construction, we will also consider different branches and specialties in the business field, such as marketing, international trade, business communication, etc., to adapt to the needs of different fields. Finally, based on the results of the needs analysis, we will provide targeted suggestions and guidance for business English teaching and training. The construction of this model helps educators and learners better understand the characteristics and needs of business English, in order to carry out business English teaching and training more effectively.