المكتبة المركزية - الجامعة الإسلامية بغزة

Semantic Word Clustering from Large Arabic Text

Chapter 2 Theoretical and Technical Foundation7

2.1 The Complexity of Creating Word Clusters from Large Unstructured Arabic Text.7

2.2 Overview of Word Clustering Techniques8

2.3 Vector Representation of Words11

2.4 The Different Models that Create Word Vectors11

2.5 Software Environment, Libraries and Tools for Creating Word Clusters15

2.6 The Evaluation of Generated Word Clustering16

Chapter 3 Related Works19

3.1 Current Text Classification and Clustering Techniques for Large Text19

3.1.1 feature selection enhancing19

3.1.2 External Methods and Developed Techniques21

3.2 Current Researches and Approaches that Use Word Vectors in Classification and Clustering of Large Text22

3.3 Other models for creating word vectors25

Chapter 4 Clustering Words Semantically27

4.1 Collecting Text Data28

4.2 Text Pre-Processing29

4.3 Create Vector Representation of Words30

4.4 Building the Classification Features32

4.5 Building the Classification Model33

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