Online social media provides a channel for monitoring people's social behaviors from which
to infer and detect their mental distresses. During the COVID-19 pandemic, online social …

Sentiment analysis (SA) is an important task because of its vital role in analyzing people's
opinions. However, existing research is solely based on the English language with limited …

For years, the scientific community has researched monitoring approaches for the detection
of certain mental disorders and risky behaviors, like depression, eating disorders, gambling …

Automatic detection of threatening language is an important task, however, most of the
existing studies focused on English as the target language, with limited work on low …

Depression is a common mental health issue that affects a large percentage of people all
around the world. Usually, people who suffer from this mood disorder have issues such as …

Urdu is a widely used language in South Asia and worldwide. While there are similar
datasets available in English, we created the first multi-label emotion dataset consisting of …

In recent years, the number of people who endanger their lives has been increasing rapidly
due to the mental burden of depression. The online social network (OSN) provides …

Sexism is defined as discrimination among females of all ages. We have seen a rise of
sexism in social media platforms manifesting itself in many forms. The paper presents best …

Multi-label Emotion Classification is a supervised classification problem that aims to classify
multiple emotion labels from a given text. Recently, Multi-label Emotion Classification has …

Automatic detection of fake news is a highly important task in the contemporary world. This
study reports the 2nd shared task called UrduFake@ FIRE2021 on identifying fake news …