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Applications of Soft Computing for the Web

Overview of attention for book
Cover of 'Applications of Soft Computing for the Web'

Table of Contents

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    Book Overview
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    Chapter 1 Introduction
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    Chapter 2 Context Similarity Measurement Based on Genetic Algorithm for Improved Recommendations
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    Chapter 3 Enhanced Multi-criteria Recommender System Based on AHP
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    Chapter 4 Book Recommender System Using Fuzzy Linguistic Quantifiers
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    Chapter 5 Use of Soft Computing Techniques for Recommender Systems: An Overview
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    Chapter 6 Hierarchical Summarization of News Tweets with Twitter-LDA
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    Chapter 7 Bibliographic Data Extraction from the Web Using Fuzzy-Based Techniques
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    Chapter 8 Crop Selection Using Fuzzy Logic-Based Expert System
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    Chapter 9 Fuzzy Logic Based Web Application for Gynaecology Disease Diagnosis
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    Chapter 10 An Improved Clustering Method for Text Documents Using Neutrosophic Logic
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    Chapter 11 Fuzzy Game Theory for Web Security
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    Chapter 12 Fuzzy Models and Business Intelligence in Web-Based Applications
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    Chapter 13 GSA-CHSR: Gravitational Search Algorithm for Cluster Head Selection and Routing in Wireless Sensor Networks
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    Chapter 14 Utilizing Genetic-Based Heuristic Approach to Optimize QOS in Networks
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    Chapter 15 V-MFO: Variable Flight Mosquito Flying Optimization
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    Chapter 16 Conclusion
Attention for Chapter 6: Hierarchical Summarization of News Tweets with Twitter-LDA
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Citations

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12 Mendeley
Summary Dimensions citations
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Chapter title
Hierarchical Summarization of News Tweets with Twitter-LDA
Chapter number 6
Book title
Applications of Soft Computing for the Web
Published by
Springer, Singapore, January 2017
DOI 10.1007/978-981-10-7098-3_6
Book ISBNs
978-9-81-107097-6, 978-9-81-107098-3
Authors

Nadeem Akhtar

View on publisher site
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 12 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 3 25%
Student > Doctoral Student 2 17%
Student > Postgraduate 1 8%
Student > Ph. D. Student 1 8%
Unknown 5 42%
Readers by discipline Count As %
Computer Science 6 50%
Engineering 1 8%
Unknown 5 42%

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