Recently, the use of social networks such as Facebook, Twitter, and Sina Weibo has
become an inseparable part of our daily lives. It is considered as a convenient platform for …

Automated hate speech detection is an important tool in combating the spread of hate
speech, particularly in social media. Numerous methods have been developed for the task …

Conversational information seeking (CIS) is concerned with a sequence of interactions
between one or more users and an information system. Interactions in CIS are primarily …

Emotion recognition in text is an important natural language processing (NLP) task whose
solution can benefit several applications in different fields, including data mining, e-learning …

Hate speech and abusive language spreading on social media need to be detected
automatically to avoid conflict between citizen. Moreover, hate speech has a target …

Abstract Analysis of subjective texts like offensive content or hate speech is a great
challenge, especially regarding annotation process. Most of current annotation procedures …

Recently, offensive content has become increasingly popular for harassing and criticizing
people on numerous social media platforms. This paper proposes an offensive text …

The exponential growth of videos on YouTube has attracted billions of viewers among which
the majority belongs to a young demographic. Malicious uploaders also find this platform as …

Users of online platforms have negative effects on their mental health as a direct result of the
spread of abusive content across social media networks. Homophobia are terms that refer to …

Abstract Machine Learning models based on Deep Neural Networks behave unpredictably
when presented with inputs that do not stem from the training distribution and sometimes …