The development of key technologies of knowledge graph (KG) has promoted the
development of machine cognition technology, and the combination of KG and industry as …

Big data encompasses social networking websites including Twitter as popular micro-
blogging social media platform for a political campaign. The explosive Twitter data as a …

To be prepared against cyberattacks, most organizations resort to security information and
event management systems to monitor their infrastructures. These systems depend on the …

The time window between the disclosure of a new cyber vulnerability and its use by
cybercriminals has been getting smaller and smaller over time. Recent episodes, such as …

In a world increasingly connected, and in which information flows quickly and affects a very
large number of people, sentiment analysis has seen a spectacular development over the …

Continuously striving for cyberthreat awareness is an essential task to secure an IT
infrastructure. Analysts must guarantee access to information on the most up-to-date …

Online social media such as Twitter has been used as an important source for predicting,
detecting, or analyzing critical social phenomena such as elections, disease outbreaks, and …

In this study, the extreme learning machine, support vector machine, and deep learning
models were used to predict the effect on the voting behavior of election music's used in the …

Son escasos los estudios que ofrecen una panorámica sobre el nivel de predictibilidad del
big data en las ciencias políticas. El presente estudio realiza una descripción del origen de …

Social networks such as Twitter contain billions of data of users, and in every second, a
large number of tweets trade through Twitter. Sentiment analysis is the way toward deciding …