This book is an introduction to social data analytics along with its challenges and
opportunities in the age of Big Data and Artificial Intelligence. It focuses primarily on …

Timeline summaries are an effective way for helping newspaper readers to keep track of
long-lasting news stories, such as the Egypt revolution. A good timeline summary provides a …

Previous work on automatic news timeline summarization (TLS) leaves an unclear picture
about how this task can generally be approached and how well it is currently solved. This is …

Perceiving data can be challenging as the analysis goal is subjective. Storytelling
approaches try to address this challenge by focusing on the research problem of …

Multi-document summarization (MDS) systems have been designed for short, unstructured
summaries of 10-15 documents, and are inadequate for larger document collections. We …

Timeline summarization (TLS) creates an overview of long-running events via dated daily
summaries for the most important dates. TLS differs from standard multi-document …

Timeline summarization aims at presenting long news stories in a compact manner. State-of-
the-art approaches first select the most relevant dates from the original event timeline then …

Twitter is one of the most popular social media platforms for online users to create and share
information. Tweets are short, informal, and large-scale, which makes it difficult for online …

Archive collections are nowadays mostly available through search engines interfaces, which
allow a user to retrieve documents by issuing queries. The study of these collections may be …

This paper tackles the problem of timeline generation from traditional news sources. Our
system builds thematic timelines for a general-domain topic defined by a user query. The …