By now, personal life has been invaded by online social networks (OSNs) everywhere. They
intend to move more and more offline lives to online social networks. Therefore, online …

Sentiment analysis refers to the class of computational and natural language processing
based techniques used to identify, extract or characterize subjective information, such as …

Twitter is the third most popular worldwide Online Social Network (OSN) after Facebook and
Instagram. Compared to other OSNs, it has a simple data model and a straightforward data …

There is a new generation of emoticons, called emojis, that is increasingly being used in
mobile communications and social media. In the past two years, over ten billion emojis were …

Current disaster management procedures to cope with human and economic losses and to
manage a disaster's aftermath suffer from a number of shortcomings like high temporal lags …

Emojis have been widely used to simplify emotional expression and enrich user experience.
As an interesting practice of ubiquitous computing, emojis are adopted by Internet users …

The explosion of social media services presents a great opportunity to understand the
sentiment of the public via analyzing its large-scale and opinion-rich data. In social media, it …

Pre-trained language models have been widely applied to cross-domain NLP tasks like
sentiment analysis, achieving state-of-the-art performance. However, due to the variety of …

Twitter sentiment analysis has become a hot research topic in recent years. Most of existing
solutions to Twitter sentiment analysis basically only consider textual information of Twitter …

Sentiment analysis on large-scale social media data is important to bridge the gaps between
social media contents and real world activities including political election prediction …