For a long time, figurative language was studied merely from linguistic perspectives, yet it
has lately captured the attention of other fields, such as natural language processing …

People communicate their views, arguments and emotions about their everyday life on
social media (SM) platforms (eg Twitter and Facebook). Twitter stands as an international …

Companies have realized the importance of “big data” in creating a sustainable competitive
advantage, and user-generated content (UGC) represents one of big data's most important …

The frequent usage of figurative language on online social networks, especially on Twitter,
has the potential to mislead traditional sentiment analysis and recommender systems. Due …

Nowadays, social media have become one of the most important methods of communication
that provide a real-time and rich source of information, including sentiments. Understanding …

Aspect-based sentiment analysis enables the extraction of fine-grained information, as it
connects specific aspects that appear in reviews with a polarity. Although we detect that the …

Sarcasm in social media postings significantly impacts automated sentiment extraction due
to its potential to invert the overall polarity of phrases. It poses a formidable challenge in …

Today, the electronic word-of-mouth (eWOM) statements expressed on blogs, social media
or shopping platforms are much frequent and enable customers to share his/her point of …

Social data is one of important material for representing social activities. However, efficiently
collecting social data from multiple sources is extremely hard due its big-data attributes …

Self-promotion has become widespread on social media. From a pragmatic perspective,
selfpraise is a face-threatening act. Yet despite its prevalence as a self-presentation …