Cyberbullying is a serious problem in online communication. It is important to find effective
ways to detect cyberbullying content to make online environments safer. In this paper, we …

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

The primary goal of aspect-based sentiment analysis is to identify sentiment polarity
concerning the given aspect in a sentence. Recent investigations have demonstrated the …

The paper gives a brief overview of the four shared tasks organized at the PAN 2024 lab on
digital text forensics and stylometry to be hosted at CLEF 2024. The goal of the PAN lab is to …

Fake news detection techniques are a topic of interest due to the vast abundance of fake
news data accessible via social media. The present fake news detection system performs …

Abstract Hope Speech Detection (HSD) from social media is a new direction for promoting
and supporting positive content to encourage harmony and positivity in society. As users of …

Threatening content detection on social media has recently gained attention. There is very
limited work regarding threatening content detection in low-resource languages, especially …

Text detoxification is the task of transferring the style of text from toxic to neutral. While here
are approaches yielding promising results in monolingual setup, eg,(Dale et al., 2021; …

A crucial element of computer-assisted pronunciation training systems (CAPT) is the
mispronunciation detection and diagnostic (MDD) technique. The provided transcriptions …

Recently skin disease has turned into a threat to normal human life when it becomes cancer.
If there do any negligible steps during treatment it will become severe and also may cause …