Abstract Automatic Text Summarization (ATS) is becoming much more important because of
the huge amount of textual content that grows exponentially on the Internet and the various …

In recent years, multi-objective optimization (MOO) techniques have become popular due to
their potentiality in solving a wide variety of real-world problems, including bioinformatics …

In this paper, we propose Ranksum, an approach for extractive text summarization of single
documents based on the rank fusion of four multi-dimensional sentence features extracted …

With the rapid growth of social media platforms, digitization of official records, and digital
publication of articles, books, magazines, and newspapers, lots of data are generated every …

With the advent of the World Wide Web, there are numerous online platforms that generate
huge amounts of textual material, including social networks, online blogs, magazines, etc …

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 …

The discipline of Automatic Text Summarization (ATS), which is expanding quickly, intends
to automatically create summaries of enormous amounts of text so that readers can save …

In natural language processing, text summarization is an important application used to
extract desired information by reducing large text. Existing studies use keyword-based …

Text Summarization is a process which efficiently retrieves the relevant information from
documents. The objective of the proposed, unsupervised approach is to summarize bug …

Due to the exponential overflow of textual information in various fields of knowledge and on
the internet, it is very challenging to extract important information or to generate a summary …