The interest in social media sentiment analysis and opinion mining for public security events
has increased over the years. The availability of social media platforms for communication …

Natural language processing (NLP) is a promising tool for collecting data that are usually
hard to obtain during extreme weather, like community response and infrastructure …

Effective employment of social media for any social influence outcome requires a detailed
understanding of the target audience. Social media provides a rich repository of self …

Flood disasters cause significant casualties and economic losses annually worldwide.
During disasters, accurate and timely information is crucial for disaster management …

Utilizing information systems is very useful in the current era. Digitizing administration in the
Village is beneficial in the service process to the public. This is seen as a change in service …

The use of social media in crisis informatics has become increasingly popular across a
range of disciplines. Leveraging natural language processing (NLP) techniques enables the …

During a crisis, small and family-owned businesses tend to experience more severe
economic consequences than their larger counterparts and often lack financial resources …

To achieve a comprehensive understanding of the factors influencing tourist satisfaction,
there has recently been an increasing interest in the information provided by online reviews …

Analisis sentimen pada teks bertujuan untuk melihat sebuah teks mengandung emosi
positif, negatif, atau netral. Hasil analisis dapat digunakan sebagai bahan pertimbangan …

In this study, a small-grid urban flood prediction model integrating Twitter data and
population GPS data was constructed using the 2019 Nagano City flood as an example, and …