Trends and Applications of Text Summarization Techniques

Table of Contents
Foreword • Silvia Chiusano
Preface
Acknowledgment
Section 1: Concepts and Methods
	1 Combining Machine Learning and Natural Language Processing for Language-Specific, Multi-Lingual, and Cross-Lingual Text Summarization: A Wide-Ranging Overview • Luca Cagliero, Paolo Garza, Moreno La Quatra
	2 The Development of Single-Document Abstractive Text Summarizer During the Last Decade • Amal M. Al-Numai, Aqil M. Azmi
	3 Mining Scientific and Technical Literature: From Knowledge Extraction to Summarization • Junsheng Zhang, Wen Zeng
	4 Data Text Mining Based on Swarm Intelligence Techniques: Review of Text Summarization Systems • Mohamed Atef Mosa
	5 Named Entity Recognition in Document Summarization • Sandhya P., Mahek Laxmikant Kantesaria
Section 2: Domain Applications
	6 Text Classification and Topic Modeling for Online Discussion Forums: An Empirical Study From the Systems Modeling Community • Xin Zhao, Zhe Jiang, Jeff Gray
	7 Summarization in the Financial and Regulatory Domain • Jochen L. Leidner
	8 Opinion Mining and Product Review Summarization in E-Commerce • Enakshi Jana, V. Uma
	9 Scaling and Semantically-Enriching Language-Agnostic Summarization • George Giannakopoulos, George Kiomourtzis, Nikiforos Pittaras, Vangelis Karkaletsis
Compilation of References
About the Contributors
Index