The domain of Aspect-based Sentiment Analysis, in which aspects are extracted, their
sentiments are analysed and sentiments are evolved over time, is getting much attention …

Millions of people use Twitter daily, posting thousands of messages and interacting with
their peers. This research aims to evaluate and classify the predictive potential of the Twitter …

The COVID-19 pandemic influenced people's everyday lives because of the health
emergency and the resulting socio-economic crisis. People use social media to share …

Events are happening in real world and real time, which can be planned and organized for
occasions, such as social gatherings, festival celebrations, influential meetings, or sports …

In recent years, there has been increased interest in real-world event detection using
publicly accessible data made available through Internet technology such as Twitter …

The increasing popularity of social media services has led to more and more people using
Twitter. There are millions of tweets with a high amount of noisy data that propagate daily on …

Purpose The main purpose is to provide a global understanding of the role of women in
entrepreneurship and family businesses, enabling the evaluation of the impact and the …

Aspect extraction is one of the fundamental steps in analyzing the characteristics of
opinions, feelings and emotions expressed in textual data provided for a certain topic …

Government inspection reports detail unsafe acts and conditions that arise on construction
sites, especially front-line managers' non-compliance practices, which are hardly identified …

Social media data have been widely used to enrich human-centric information for situational
awareness and disaster assessment. Owing to the granularity of topics detected from …