Computational Techniques for Text Summarization based on Cognitive Intelligence

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, people in research have 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. It 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.

這本書探討了當代用於自動文本摘要的方法論。它提出了使用計算智能（CI）技術，包括認知方法，來解決文本摘要中眾所周知的問題的有趣方法。對於摘要任務的認知基礎的更好理解仍然是一個開放的研究問題；進一步探索其在文本摘要中的應用程度受到強調。隨著文本的不斷增長，研究人員很少有時間進行廣泛閱讀，摘要信息有助於更快地理解上下文。

這本書幫助學生和研究人員以高效和有效的方式自動摘要文本文件。所介紹的計算方法和研究技術指導實現輕鬆進行文本摘要。生成的摘要文本支持讀者以更快的速度學習上下文或領域。書中提供了合理數量的插圖和例子，方便讀者理解並應用於自己的需求。這本書的目的不是讓讀者理解什麼是文本摘要，而是讓人們使用各種方法進行文本摘要。它還描述了可以幫助評估、確定和探索文本摘要的最佳可能性的措施，以進行任何特定目的的分析和使用。插圖基於社交媒體和醫療領域，展示了在任何領域進行摘要的可能性。基於認知智能的文本摘要的新方法被提出，供該領域進一步探索使用。

V. Priya is presently working as an assistant professor in, the department of computer science and engineering, Dr. N. G. P. Institute of Technology, Coimbatore, India. Her areas of research include text summarization using map-reduce and optimization along with an application. She has taught courses such as big data, data warehousing, and mining, operating systems, data management, and analytics at undergraduate and graduate levels. She has published research papers in journals of national and international repute.

K. Umamaheswari is currently working as a professor and head of, the department of information technology, PSG College of Technology, India. She has more than twenty-five years of teaching experience and has published more than a hundred papers in journals and conferences of national and international repute. Her research interests include data mining, cognitive networks, text mining, and information retrieval. She is the senior editor for the National Journal of Technology and reviewers for many national and international journals.

V. Priya目前在印度科伊馬托爾的Dr. N. G. P. Institute of Technology的計算機科學與工程系擔任助理教授。她的研究領域包括使用map-reduce和優化技術進行文本摘要，並應用於相關領域。她曾在本科和研究生課程中教授大數據、數據倉儲和挖掘、操作系統、數據管理和分析等課程。她在國內外知名期刊上發表過研究論文。

K. Umamaheswari目前在印度PSG College of Technology的資訊技術系擔任教授和系主任。她擁有超過二十五年的教學經驗，並在國內外知名期刊和會議上發表了一百多篇論文。她的研究興趣包括數據挖掘、認知網絡、文本挖掘和信息檢索。她是國家技術期刊的高級編輯，也是許多國內外期刊的審稿人。