The selection of word embedding and deep learning models for better outcomes is vital.
Word embeddings are an n-dimensional distributed representation of a text that attempts to …

Homophobia or Transphobia can be defined as the hatred, discomfort, or dislike of lesbian,
gay, transgender or bisexual people. Studies have shown that these individuals were more …

The paper describes the organization, goals, and results of the sE**sm Identification in
Social neTworks (EXIST) challenge, a shared task proposed for the first time at IberLEF …

During the last decade, hateful and sexist content towards women is being increasingly
spread on social networks. The exposure to sexist speech has serious consequences to …

The enormous growth of social media provides a platform for displaying harmful, offensive
online behaviour, which keeps increasing with time. The popularity of smartphones and the …

In recent times, the focus of the NLP community has increased towards offensive language,
aggression, and hate-speech detection. This paper presents our system for TRAC-2 shared …

Online sexism has become an increasing concern in social media platforms as it has
affected the healthy development of the Internet and can have negative effects in society …

The use of misogynistic and sexist language has increased in recent years in social media,
and is increasing in the Arabic world in reaction to reforms attempting to remove restrictions …

Online misogyny, a category of online abusive language, has serious and harmful social
consequences. Automatic detection of misogynistic language online, while imperative …

Social media networks have become a space where users are free to relate their opinions
and sentiments which may lead to a large spreading of hatred or abusive messages which …