Graph Learning and Network Science for Natural Language Processing

5 Natural Language Processing with Graph and Machine Learning Algorithms-based Large-scale Text Document Summarization and Its Applications

Shaikh Ashfaq Amir, Pathan Mohd. Shafi, Vinod V. Kimbahune, and Vijaykumar S. Bidve

DOI: 10.1201/9781003272649-5

CONTENTS

5.1 Introduction

5.1.1 Types of Text Summary

5.2 Text Summarization and Machine Learning

5.2.1 What Is Graph ML?

5.2.2 Simple Algorithmic Approach

5.3 Literature Survey

5.3.1 Gap Analysis

5.4 Problem Statement

5.5 System Architecture

5.6 Graph-based Solutions

5.7 Conclusion

References

5.1 Introduction

The growing amount of information available on the internet has led to an overload of text information. Researchers working on simple methods to provide accurate and precise summaries ...