Sentiment detection and classification is the latest fad for social analytics on Web. With the
array of practical applications in healthcare, finance, media, consumer markets, and …

This essay explores the changing character of public discourse in the Age of Twitter.
Adopting the perspective of media ecology, the essay highlights how Twitter privileges …

Social media websites can be used as a data source for mining public opinion on a variety
of subjects including climate change. Twitter, in particular, allows for the evaluation of public …

Text preprocessing is not only an essential step to prepare the corpus for modeling but also
a key area that directly affects the natural language processing (NLP) application results. For …

For identifying psychological hotspot topics, a mere focus on bibliometric data suffers from a
publication delay. To overcome this issue, we introduce Twitter mining of ongoing online …

Purpose Digitalisation has increased the importance of online forms of marketing, including
social media (SM) marketing, for entrepreneurial firms. This paper aims to identify digital …

The Twitter Presidency explores the rhetorical style of President Donald J. Trump, attending
to both his general manner of speaking as well as to his preferred modality. Trump's manner …

Purpose The shopper journey can cross a number of channels leading up to the point of a
possible purchase, which may be unseen by the retailer or brand for the targeted purchase …

Alternative metrics are currently one of the most popular research topics in scientometric
research. This paper provides an overview of research into three of the most important …

Rumour stance classification, defined as classifying the stance of specific social media posts
into one of supporting, denying, querying or commenting on an earlier post, is becoming of …