… it covers the most frequently used techniques. Additionally, other surveys study sentiment
analysis from a particular task, … This study provides a comprehensive investigation of sentiment …

… the benchmark datasets and tools that have been used in sentiment analysis research as well
… challenges in sentiment analysis. Finally, Sect. 6 concludes this survey with final remarks. …

… researchers to extract and analyze public mood and views, … study of sentiment analysis
approaches, challenges, and trends, to give researchers a global survey on sentiment analysis …

… Before we introduce different sentiment analysis methods based on transfer learning, we
first describe some notations and categories that be used in the paper. Domain: Consists of …

… This paper provides a detailed survey of popular deep learning models that are increasingly
applied in sentiment analysis. We present a taxonomy of sentiment analysis and discuss the …

… , techniques for building more practical ABSA systems in cross-domain/lingual scenarios
are discussed. Finally, we review … Conventional sentiment analysis studies mainly perform …

… comparison of sentiment analysis methods 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 sentiment analysis 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 survey text. It … analysis in general and sentiment analysis in particular. Lecturers can
readily use it in class for courses on natural language processing, social media analysis, text …

… and semantic features of text without requirements for high-level … methods. In this article,
we aim to provide a comparative review of deep learning for aspect-based sentiment analysis to …