Abusive language is an important issue in online communication across different platforms
and languages. Having a robust model to detect abusive instances automatically is a …

Understanding the sentiment of a comment from a video or an image is an essential task in
many applications. Sentiment analysis of a text can be useful for various decision-making …

Social networking platforms gained widespread popularity and are used for various activities
like: promoting products, sharing news, achievements and many more. On the other hand, it …

A meme is a form of media that spreads an idea or emotion across the internet. As posting
meme has become a new form of communication of the web, due to the multimodal nature of …

There is an increasing demand for sentiment analysis of text from social media which are
mostly code-mixed. Systems trained on monolingual data fail for code-mixed data due to the …

This paper describes the development of a multilingual, manually annotated dataset for
three under-resourced Dravidian languages generated from social media comments. The …

People increasingly use social media platforms to express themselves by posting visuals
and texts. As a result, hate content is on the rise, necessitating practical visual caption …

Sarcasm is the acerbic use of words to mock someone or something, mostly in a satirical
way. Scandal or mockery is used harshly, often crudely and contemptuously, for destructive …

In recent years, given the exponential increase in social media content also led to an
increase in online hate speech. We need automatic hate speech detection methods due to …

To obtain extensive annotated data for under-resourced languages is challenging, so in this
research, we have investigated whether it is beneficial to train models using multi-task …