Sentiment analysis is an emerging trend nowadays to understand people's sentiments in
multiple situations in their quotidian life. Social media data would be utilized for the entire …

The selection of word embedding and deep learning models for better outcomes is vital.
Word embeddings are an n-dimensional distributed representation of a text that attempts to …

This paper proposes a new deep learning approach to better understand how optimistic and
pessimistic feelings are conveyed in Twitter conversations about COVID-19. A pre-trained …

Social networking sites are a new ecosystem of social relations in which adolescents follow
public figures or influencers: instagrammers, tweeters and youtubers. Their behaviour in the …

Las redes sociales son un nuevo ecosistema de relaciones sociales en el que los
adolescentes siguen a personajes públicos o «influencers»:«instagramers»,«twitteros» y …

Identifying the emotional causes of mental illnesses is key to effective intervention. Existing
emotion-cause analysis approaches can effectively detect simple emotion-cause …

Background Opinion mining, or sentiment analysis, is a field in Natural Language
Processing (NLP). It extracts people's thoughts, including assessments, attitudes, and …

Fake news on social media, has spread for personal or societal gain. Detecting fake news is
a multi-step procedure that entails analysing the content of the news to assess its …

The COVID-19 pandemic changed the routine and concerns of people around the world
since 2020. The alarming contagious rate and the lack of treatment or vaccine evoked …

In the context of human-in-the-loop Machine Learning applications, like Decision Support
Systems, interpretability approaches should provide actionable insights without making the …