A comprehensive survey on aspect-based sentiment analysis

Aspect-based sentiment analysis (ABSA) is the sub-field of natural language processing that deals with breaking or splitting texts into aspects and then classification sentiments like happy, sad, angry, etc. towards aspect. provides more information about context than general analysis. In this survey paper, we compared a variety papers methods were introduced through them on achieving better results for problem at hand. As ABSA currently being used customer satisfaction product feedback most have datasets containing reviews. This paper discusses various solutions in-depth gives comparison between them. Firstly, discuss rule-based approaches move to complex involve both neural networks. Also, major emphasis shed principles workflow method discussed.