Convolutional neural networks for sentence classification.卷积神经网络用于句子分类。

简介：
This paper explores the application of Convolutional Neural Networks (CNNs) to the task of sentence classification. The research investigates how these powerful deep learning models can be effectively utilized to analyze and categorize textual sentences. Specifically, the study delves into the architecture and training methodologies employed for CNNs in this domain. Furthermore, it examines various techniques for enhancing the performance of CNNs on sentence classification benchmarks. The work presents a comprehensive analysis of existing approaches and highlights potential avenues for future research in this rapidly evolving field. The paper details the implementation and evaluation of different CNN configurations, ultimately demonstrating their capacity to achieve state-of-the-art results on several standard sentence classification datasets.