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The book is concerned with contemporary methodologies used for
automatic text summarization. It proposes interesting approaches to
solve well-known problems on text-summarization using computational
intelligence (CI) techniques including cognitive approaches. A
better understanding of the cognitive basis of the summarization
task is still an open research issue, an extent of its use in text
summarization is highlighted for further exploration. With the
ever-growing text and people on research has little time to spare
for extensive reading, where, summarized information helps for a
better understanding of the context at a shorter time. This book
helps students and researchers to automatically summarize the text
documents in an efficient and effective way. The computational
approaches and the research techniques presented guides to achieve
text summarization at ease. The summarized text generated supports
readers to learn the context or the domain at a quicker pace. The
book is presented with reasonable amount of illustrations and
examples convenient for the readers to understand and implement for
their use. The book is not to make readers understand what text
summarization is, but for people to perform text summarization
using various approaches. This also describes measures that can
help to evaluate, determine and explore the best possibilities for
text summarization to analyse and use for any specific purpose. The
illustration is based on social media and healthcare domain, which
shows the possibilities to work with any domain for summarization.
The new approach for text summarization based on cognitive
intelligence is presented for further exploration in the field.
With the advent of recent technologies, the demand for Information
and Communication Technology (ICT) based applications such as
artificial intelligence (AI), machine learning, Internet of Things
(IoT), health care, data analytics, augmented reality / virtual
reality, cyber-physical systems, and future generation networks has
increased drastically. In recent years, artificial intelligence has
played a more significant role in everyday activities. While AI
creates opportunities, it also presents greater challenges in the
sustainable development of engineering applications  This
book highlights the recent advances in AI and its allied
technologies with a special focus on sustainable applications. It
covers theoretical background, a hands-on approach, and real-time
use cases with experimental and analytical results.
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