Analysis of Collaborative Online Conversations using Natural Language Processing, Traian Rebedea

Cartea introduce o noua metodologie care utilizeaza interanimatia pentru analiza conversatiilor online cu mai multi autori si se bazeaza pe detectarea legaturilor implicite care apar intre ture folosind doar tehnici de Prelucrare a Limbajului Natural (NLP)

Chapter 1. Introduction

1.1 Research Problem and Objectives

1.2 Elements of Novelty

1.3 Thesis Outline

Chapter 2. Inter-animation in Collaborative Chat Conversations. Classification of the Interaction Types

2.1 Introduction

2.2 Inter-animation in Online Conversations

2.3 Interactions (Links) among Utterances

2.4 Classification of Utterances

2.5 Classification of Interactions between Utterances

2.6 Conclusions

Chapter 3. Discourse Models in Web Conversations Like Online Chats and Discussion Forums

3.1 Discourse Types

3.2 Computational Discourse Models for Conversations

3.3 Modelling Conversations as a Graph

3.4 Open Issues in Building the Conversation Graph

3.5 Conclusions

Chapter 4. PolyCAFe – A Chat & Forum Analysis and Feedback System

4.1 System Basics and Use Case

4.2 Architecture and Technologies

4.3 Functionality and Access

Chapter 5. PolyCAFe Validation Experiments

5.1 First validation experiment

5.2 Second Validation Experiment

5.3 Technical Validation

Chapter 6. Epilogue: Using Semantics for Improving Relevance for Text Documents

6.1 Wikipedia-Based Semantics for Improving Search Relevance

6.2 Relevance for Ranking Video Comments on YouTube

Chapter 7. Conclusions

7.1 Personal Contributions

7.2 Final Considerations

7.3 Future Work

List of Publications

References