A Comprehensive Survey on Aspect Based Sentiment Analysis
It synthesizes existing research for practitioners and researchers in NLP, but is incremental as it does not introduce new methods or data.
This survey paper explores various methodologies in Aspect Based Sentiment Analysis (ABSA), providing a comparative study to offer a holistic view of the field.
Aspect Based Sentiment Analysis (ABSA) is the sub-field of Natural Language Processing that deals with essentially splitting our data into aspects ad finally extracting the sentiment information. ABSA is known to provide more information about the context than general sentiment analysis. In this study, our aim is to explore the various methodologies practiced while performing ABSA, and providing a comparative study. This survey paper discusses various solutions in-depth and gives a comparison between them. And is conveniently divided into sections to get a holistic view on the process.