Emotion detection (ED) is a branch of sentiment analysis that deals with the extraction and
analysis of emotions. The evolution of Web 2.0 has put text mining and analysis at the …

In this paper, we provide a sentiment analysis of the Twitter discussion on the 2016 Austrian
presidential elections. In particular, we extracted and analyzed a data-set consisting of …

The breeding and spreading of negative emotion in public emergencies posed severe
challenges to social governance. The traditional government information release strategies …

The COVID-19 outbreak impacted almost all the aspects of ordinary life. In this context,
social networks quickly started playing the role of a sounding board for the content produced …

Conservation conflicts involve an important emotional component that has been little
investigated so far. In particular, the study of emotions involved in conservation conflicts …

To study the causes of the 2021 Great Resignation, we use text analysis and investigate the
changes in work-and quit-related posts between 2018 and 2021 on Reddit. We find that the …

In today's digital world, understanding how YouTube's recommendation systems guide what
we watch is crucial. This study dives into these systems, revealing how they influence the …

There have been several attempts to create an accurate and thorough emotion lexicon in
English, which identifies the emotional content of words. Of the several commonly used …

Research based on investor sentiment in social media has been a hot topic of research in
behavioral finance, and the reliability of investor sentiment mined from social media is a …

Despite its relevance, the maturity of NLP for social media pales in comparison with general-
purpose models, metrics and benchmarks. This fragmented landscape makes it hard for the …