【摘要】 随着深度学习方法的快速发展，神经网络模型和注意力机制等深度学习方法被广泛应用于方面级情感分析，并取得了丰富的研究成果，基于深度学习的方面级情感分析逐渐成为研究人员关注的热点之一，并有望成为研究创新突破点.本文结合近年来方面级情感分析的研究成果，首先对方面级情感分析的基本概念和相关定义进行了阐述，然后对基于深度学习方法的方面级情感分析模型进行分析和研究，并详细介绍了用于基于深度学习的方面级情感分析的评判指标和数据集，最后分析了方面级情感分析任务存在的问题和挑战.对方面级情感分析任务的研究前景进行了总结和展望.更多还原

【Abstract】 With the rapid development of the deep learning method, neural network model and the mechanisms of attention deep learning methods are widely used in sentiment analysis, and have gained rich research achievements.Deep learning-based aspect-level emotion analysis has gradually become one of the hot spots of the researchers, and is expected to become the research innovation breakthrough. Combined with the research results of aspect-based sentiment analysis in recent years, here, the basic concepts and related definitions of aspect-based sentiment analysis are firstly described.Then, the aspect-based sentiment analysis models based on deep learning methods are summarized, and the evaluation measures and datasets used for aspect-based sentiment analysis are introduced in detail. Finally, the challenges of aspect-based sentiment analysis are analyzed and the research prospect of aspect-based sentiment analysis is summarized and prospected.更多还原