Visualization of sentiments and opinions extracted from or annotated in texts has become a
prominent topic of research over the last decade. From basic pie and bar charts used to …

Sentiment analysis is the task of automatically determining from text the attitude, emotion, or
some other affectual state of the author. This chapter summarizes the diverse landscape of …

Background E-communities, social groups interacting online, have recently become an
object of interdisciplinary research. As with face-to-face meetings, Internet exchanges may …

Sentences that describe visual scenes contain a wide variety of information pertaining to the
presence of objects, their attributes and their spatial relations. In this paper we learn the …

Building upon recent Deep Neural Network architectures, current approaches lying in the
intersection of Computer Vision and Natural Language Processing have achieved …

Sentiment analysis is a growing field of research, driven by both commercial applications
and academic interest. In this paper, we explore multiclass classification of diary-like blog …

This theoretical paper presents a person–environment fit framework that extends the
Minnesota Theory of Work Adjustment to retirement transition and adjustment. The proposed …

Most sentiment analysis approaches deal with binary or ordinal prediction of affective states
(eg, positive versus negative) on review-related content from the perspective of the author …

In the past 10 years, how to visualize human emotions in communication has become an
important topic. For providing personalized customer service for enterprises from self …

Emotion recognition from facial expressions has gained much interest over the last few
decades. In the literature, the common approach, used for facial emotion recognition (FER) …