The spread and use of social networks provide a rich data source that can be used to
answer a wide range of research questions from various disciplines. However, the nature of …

In today's world, social media is playing an indispensable role on the learning behavior of
university students to achieve sustainable education. The impact of social media on …

Sentiment analysis through machine learning using Twitter data has become a popular topic
in recent years. Here we address the problem of sentiment analysis during critical events …

The involvement application and use of crisis and emergency management and
communication are increasing rapidly. This study conducts a systematic literature review to …

Big data created by social media and mobile networks provide an exceptional opportunity to
mine valuable insights from them. This information is harnessed by business entities to …

This study investigates Twitter usage during Hurricane Sandy following the survey of the
general population and exploring communication dynamics on Twitter through different …

This paper proposed and tested an integrated textual–visual–geo framework to enhance
social sensing techniques in smart city digital twins in the context of disasters. Effective and …

The objective of this study is to propose and test a hybrid machine learning pipeline to
uncover the unfolding of disaster events corresponding to different locations from social …

Sentiment analysis has become an important tool for e-commerce giant to capture user
sentiment towards their product and to exploit such analysis to attract user for buying …

This study proposes a decision-making method based on topic sentiment analysis to
address the problem of completely data-driven attribute information acquisition and risk …