Empathy is a vital factor that contributes to mutual understanding, and joint problem-solving.
In recent years, a growing number of studies have recognized the benefits of empathy and …

Emotion ontologies have been developed to capture affect, a concept that encompasses
discrete emotions and feelings, especially for research on sentiment analysis, which …

Sentiment analysis aims to automatically uncover the underlying attitude that we hold
towards an entity. The aggregation of these sentiment over a population represents opinion …

Emotion Recognition is attracting the attention of the research community due to the multiple
areas where it can be applied, such as in healthcare or in road safety systems. In this paper …

Emotion recognition is attracting the attention of the research community due to its multiple
applications in different fields, such as medicine or autonomous driving. In this paper, we …

Social networks play a key role in providing a new approach to collecting information
regarding mobility and transportation services. To study this information, sentiment analysis …

Sarcasm detection and humor classification are inherently subtle problems, primarily due to
their dependence on the contextual and non-verbal information. Furthermore, existing …

Sentiment analysis is a computational analysis of unstructured textual data, used to assess
the person's attitude from a piece of text. Aspect-based sentimental analysis defines the …

Sequence labelling tasks like Dialog Act and Emotion/Sentiment identification are a key
component of spoken dialog systems. In this work, we propose a new approach to learn …

Chatbots are software-based systems designed to interact with humans using text-based
natural language and have attracted considerable interest in online service encounters. In …