Automatic Text Summarization (ATS), utilizing Natural Language Processing (NLP)
algorithms, aims to create concise and accurate summaries, thereby significantly reducing …

The volume of data on the social media is huge and even keeps increasing. The need for
efficient processing of this extensive information resulted in increasing research interest in …

In recent years, there has been increased interest in real-world event detection using
publicly accessible data made available through Internet technology such as Twitter …

The increasing volume of textual information on any topic requires its compression to allow
humans to digest it. This implies detecting the most important information and condensing it …

The use of science to understand its own structure is becoming popular, but understanding
the organization of knowledge areas is still limited because some patterns are only …

In this paper, we deal with the task of sub-event detection in evolving events using posts
collected from the Twitter stream. By representing a sequence of successive tweets in a …

Short-text messages such as tweets are being created and shared at an unprecedented
rate. Tweets, in their raw form, while being informative, can also be overwhelming. For both …

Social media has now become the de facto information source on real world events. The
challenge, however, due to the high volume and velocity nature of social media streams, is …

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 …

Twitter is a fast communication channel for gathering and spreading breaking news, and it
generates a large volume of tweets for most events. Automatically creating a summary for an …