Sentiment analysis is an emerging trend nowadays to understand people's sentiments in
multiple situations in their quotidian life. Social media data would be utilized for the entire …

The ability to detect users' emotions for the purpose of emotion engineering is currently one
of the main endeavors of machine learning in affective computing. Among the more common …

Text classification or categorization is the process of automatically tagging a textual
document with most relevant labels or categories. When the number of labels is restricted to …

Textual language is the most natural carrier of human emotion. In natural language
processing, textual emotion recognition (TER) has become an important topic due to its …

Multi-label text classification is one of the fundamental tasks in natural language processing.
Previous studies have difficulties to distinguish similar labels well because they learn the …

Imagining things without mixed emotions is next to impossible in today's scenario. Whether it
is news or any online movement started on social media applications. One of the social …

We introduce XED, a multilingual fine-grained emotion dataset. The dataset consists of
human-annotated Finnish (25k) and English sentences (30k), as well as projected …

Sentiment analysis has become a key technology to gain insight from social networks. The
field has reached a level of maturity that paves the way for its exploitation in many different …

Sentiment analysis is an increasingly evolving field of research in computer science. With
the considerable number of studies on innovative sentiment analysis available, it is worth …

Sina Weibo sentiment analysis technology provides the methods to survey public emotion
about the related events or products in China. Most of the current works in sentiment …