Graph Learning and Network Science for Natural Language Processing

1 Graph of Words Model for Natural Language Processing

Sharayu Mirasdar and Mangesh Bedekar

DOI: 10.1201/9781003272649-1

CONTENTS

1.1 Introduction

1.1.1 Lexical and Morphological Analysis

1.1.2 Syntactic Analysis

1.1.3 Semantic Analysis

1.1.4 Discourse Integration

1.1.5 Pragmatic Analysis

1.2 Machine Learning and Text Modelling

1.3 BoW Model

1.3.1 Introduction

1.3.1.1 Step 1: Collect the Data

1.3.1.2 Step 2: Vocabulary Design

1.3.1.3 Step 3: Document Vectors Creation

1.3.1.4 Scoring Words

1.3.2 Limitations of the BoW Model

1.4 Graph of Words (GoW) Model

1.4.1 Basic Terminology of Graphs

1.4.1.1 Real-world Graphs

1.4.1.2 Graphs in Linguistics

1.4.2 Semantic Similarity and Ambiguity

1.4.3 How to Build a GoW

1.4.3.1 Preliminary Concepts

1.4.4 ...