… Context-based sentiment analysis is the domain of study … generic sentiment analysis as well
as facilitate fine grain analysis of … problems of NLP pose a threat to context-based sentiment …

… Starting from the problem of sentiment analysis, this chapter explains the idea and method
of constructing the model, and puts the prepared inputs into the neural network model for …

… First, we present the problem setting followed by the overview of our MrRec model. Then,
we describe in detail the multilingual aspect-based sentiment analysis and the multilingual …

… in a hierarchical text categorization problem. We developed a multifaceted, multilingual
corpus for hierarchical sentiment analysis. The different facets include hierarchical nominal …

… We also see that sentiment analysis is a multifaceted problem with many challenging and
interrelated subproblems. Chapter 3 studies the popular topic of document-level …

… In this article, we study the problem of topic discovery in the microblogging environment of
Twitter. To tackle the short length of microblog posts and uncover their rich latent semantics, …

… a single multifaceted campaign; thus, the competitive IM problem is fundamentally different
from OIPA. Comparative IM: Some works have considered viral marketing with multiple non-…

… sentiment analysis [15], [16], [13]. O’onnor et al. [17] revealed the high correlation between
sentiment … However, we believe there are many other problems to which the proposed method …

… been used for different problems. Generally, their application is appropriate for a problem
which is … [83] employed a multifaceted sentiment analysis in predicting the sales of mobile apps …

… have defined the SA problem as essentially a text classification problem and machine
learning techniques have proved their dexterity in resolving the sentiment analysis tasks”. The …