The Application of Improved Algorithms in Blended Teaching of Financial Analysis Courses

Higher education is developing towards the trend of informatization, and the way college students learn financial analysis courses has also undergone essential changes. The traditional classroom teaching mode is too single, the content is boring, it cannot attract students, and the teaching effect is not satisfactory. At the same time, there are many contents covered in the financial analysis course, among which financial texts can help enterprises avoid investment risks and prevent financial fraud. Therefore, colleges and universities adopt a blended teaching model, which combines traditional classroom teaching mode on the basis of constructivist education theory, and uses online teaching platforms to improve teaching quality. In the blended teaching of financial analysis classroom, an improved algorithm is introduced to retain the characteristic word frequency factor of financial texts and reassign the weight of characteristic words. The use of this method can improve the performance of financial text classification, so that teachers can complete the blended teaching of financial analysis courses in a targeted manner.