In the modern world, learning is becoming increasingly critical due to rapid technological
breakthroughs, which highlight the need for continuous skill development in both the …

Sentiment analysis is an essential task in natural language processing that involves
identifying a text's polarity, whether it expresses positive, negative, or neutral sentiments …

The popularity and widespread use of social media are constantly generating unmonitored
data, spreading unwanted content such as hate speech and expressions that incite violence …

Freedom of expression on social media has provided oppressed people with many
opportunities to raise their voices against violence and injustice, but this freedom is being …

Identification of infrastructure and human damage assessment tweets is beneficial to
disaster management organizations as well as victims during a disaster. Most of the prior …

This paper proposes a new robust model for text classification on the Stanford Sentiment
Treebank v2 (SST-2) dataset in terms of model accuracy. We developed a Recurrent Neural …

Hausa is a major Chadic language, spoken by over 100 million people in Africa. However,
from a computational linguistic perspective, it is considered a low-resource language, with …

In recent decades, hate speech on social media platforms has been on the rise. It is highly
desired to control this kind of material because it initiates unrest and harms to the society …

Identification of threatening comments on social media platforms has recently gained
attention. Prior approaches have addressed this task in some low-resource languages but …

Hate speech is a complex, multifaceted form of harmful material that targets individuals or
groups. Detecting implicit hate speech poses a significant challenge due to its subtle …