"基于Python Flask深度学习的中文情感分析系统设计与实现"

该毕业设计题目为"基于深度学习的中文情感分析系统"，主要涉及使用Python Flask框架开发的情感分析系统。该系统涵盖了数据库设计以及深度学习算法，旨在对中文文本进行情感分析并给出相应的情感分类结果。设计者通过对情感词汇的建模以及训练深度学习模型来实现系统功能。整个系统的开发过程也有相应的记录论文，详细介绍了系统的设计原理、实现方法以及测试结果。该毕业设计为计算机专业学生所完成，指导教师为指导教师姓名。完成日期为xxxx年xx月xx日。 Abstract: This graduation project focuses on developing a Chinese sentiment analysis system based on deep learning using Python Flask framework. The system includes database design and deep learning algorithms, aiming to analyze the sentiment of Chinese texts and provide corresponding sentiment classification results. The designer achieves the system functionality through modeling sentiment lexicon and training deep learning models. The development process of the system is documented in the research paper, detailing the design principles, implementation methods, and testing results. The graduation project is completed by a student majoring in computer science under the guidance of a supervising teacher. The completion date is XXXX XX, XXXX.