Research on the Application of Deep Learning-Based Text Classification Algorithms in Data Mining

Abstract

This article explores the application of text classification algorithms based on deep learning in data mining. By reviewing the existing literature, the application of convolutional neural network (CNN), recurrent neural network (RNN) and transformer (Transformer) in text classification is introduced, and related research on data mining and analysis is analyzed. The experiment used the IMDB movie review data set to verify the effectiveness of the deep learning model through data preprocessing, feature extraction and model training. The experimental results show that the model's accuracy on the test set is 86%, the precision rate is 85%, the recall rate is 88%, and the F1 value is 86%. Research shows that deep learning models can significantly improve text classification performance. This article also discusses the significance, limitations and future research directions of the research findings, including improvements in data acquisition and annotation, computing resource optimization, and model interpretability.