M Birjali, M Kasri, A Beni-Hssane - Knowledge-Based Systems, 2021 - Elsevier
… researchers to extract and analyze public mood and views, … study of sentimentanalysis approaches, challenges, and trends, to give researchers a global survey on sentimentanalysis …
P Nandwani, R Verma - Social network analysis and mining, 2021 - Springer
… In some applications, sentimentanalysis is insufficient and hence requires emotion … This review paper provides understanding into levels of sentimentanalysis, various emotion …
… This paper provides a detailed survey of popular deep learning models that are increasingly applied in sentimentanalysis. We present a taxonomy of sentimentanalysis and discuss the …
… , techniques for building more practical ABSA systems in cross-domain/lingual scenarios are discussed. Finally, we review … Conventional sentimentanalysis studies mainly perform …
… comparison of sentimentanalysismethods in the literature, and an experimental study to evaluate the performance of deep learning models and related techniques on datasets about …
… We study aspect-level sentimentanalysis in Chapters 5 and 6. Note that in some applications, the user may be interested in only opinions about entities. In that case, the system can just …
… and surveytext. It … analysis in general and sentimentanalysis in particular. Lecturers can readily use it in class for courses on natural language processing, social media analysis, text …
L Yang, Y Li, J Wang, RS Sherratt - IEEE access, 2020 - ieeexplore.ieee.org
… of textsentimentanalysis … sentimentanalysis models in the sentimentanalysis field of product reviews, this paper proposes a SLCABG model based on the advantages of the sentiment …
… Section 2 provides a background of the work selected elucidating the basics of social media, the motivation behind this work, a brief introduction on sentimentanalysis and emotional …