Event data, or structured records of``who did what to whom''that are automatically extracted
from text, is an important source of data for scholars of international politics. The high cost of …

Recent advances in natural language processing (NLP) and Big Data technologies have
been crucial for scientists to analyze political unrest and violence, prevent harm, and …

Extracting structured metadata from unstructured text in different domains is gaining strong
attention from multiple research communities. In Political Science, these metadata play a …

Knowledge discovery and extraction approaches attract special attention across industries
and areas moving toward the 5V Era. In the political and social sciences, scholars and …

Conflict scholars have used rule-based approaches to extract information about political
violence from news reports and texts. Recent Natural Language Processing developments …

Structured metadata extraction from raw-text in different domains is gaining strong attention
from the research communities and offering good applicable scenarios. In Political Science …

Studying political activities and interaction between different entities gradually becoming a
prominent field of research for both the social science and computer science researchers …

Today, Spanish speaking countries face widespread political crisis. These political conflicts
are published in a large volume of Spanish news articles from Spanish agencies. Our goal is …

Political activities and interactions between different global entities are becoming growing
field for data-intensive computing with a wide scope of research opportunities for both social …

In recent years, many traditional news websites developed corresponding recommendation
systems to cater to readers' interests and news recommendation systems are widely applied …