Background: With digital transformation and growing social media usage, kids spend
considerable time on the web, especially watching videos on YouTube. YouTube is a source …

Offensive language has arisen to be a big issue to the health of both online communities
and their users. To the online community, the spread of offensive language undermines its …

We present ML-Ask–the first Open Source Affect Analysis system for textual input in
Japanese. ML-Ask analyses the contents of an input (eg, a sentence) and annotates it with …

We propose a method for affect analysis of textual input in Japanese supported with Web
mining. The method is based on a pragmatic reasoning that emotional states of a speaker …

Currently adolescents highly rely on social media to interact with other people. Given the
complicated environment of social media, it has become very difficult for adolescents to …

From the beginning of computer era over half a century ago, humanity was fascinated by the
idea of creating a machine substituting their mental capabilities. This New Age version of …

The abusive posts detection problem is more complicated than it seems due to its unseemly,
unstructured noisy data and unpredictable context. The learning performance of the neural …

This paper presents a novel method for estimating speaker's affective states based on two
contextual features: valence shifters and appropriateness. Firstly, a system for affect analysis …

With globalization and cultural exchange around the globe, most of the population gained
knowledge of at least two languages. The bilingual user base on the Social Media Platform …

Abstract In Metro Manila, there are two sets of coded language that baffle and amuse their
observant bystanders: the Filipino gay language and the idiom used by the UV Express …