Researchers have been concentrating on categorizing text into several categories during
the past few years based on tweets, SMS messages, etc. This study focuses on categorizing …

Text classification is one of the most important tasks in Natural Language Processing. As text
data is growing rapidly, it needs more computational power to classify the text in a big …

The increasing number of online transactions and other internet activities give rise to the
proliferation of online scam. The Philippine National Police-Anti Cybercrime Group (PNP …

During disasters and emergencies, microblogging platforms like Twitter are crucial sources
of real-time information. With so much verbal content present during such situations, it is …

Text classification has played a key role in various fields, such as news classification, spam
detection, and sentiment analysis. However, the classification of crime news continues to …

People share real-time updates on social media platforms (ie Twitter) when disaster occurs,
this information is very valuable for disaster relief and response teams as it can alert them …

Twitter is one of Indonesia's most used social media, with total visits reaching 192 million
visits per month, making it the fifth most-visited website in Indonesia. Twitter users exchange …

In recent years, computer science has advanced exponentially, helping significantly to
identify and classify text extracted from social networks, specifically Twitter. This work …

Effectively filtering and categorizing the large volume of user-generated content on social
media during disaster events can help emergency management and disaster response …

Identifying and classifying text extracted from social networks, following the traditional
method, is very complex. In recent years, computer science has advanced exponentially …