Mounting-based knowledge transfer network Model Using Aspect-based sentiment analysis
Mary Sowjanya,
Kotagiri srivi,
Lakshmi Devi
Abstract:Aspect-based sentiment analysis is a complex subtask of sentiment analysis in which the sentiment polarities of given aspect terms in phrases are determined. In this paper, we suggested a novel Mounting-based knowledge transmission network for aspect-based sentiment analysis. First and foremost, before entering data into models, data preparation (data pre-processing) is crucial, as it contributes to achieving high accuracy. For the textual data, special procedures were required, including tokenization, stop wo… Show more
Set email alert for when this publication receives citations?
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.