Читать книгу Natural Language Processing for Social Media - Diana Inkpen - Страница 8

Contents

Preface to the Second Edition

Acknowledgments

1 Introduction to Social Media Analysis

1.1 Introduction

1.2 Social Media Applications

1.2.1 Cross-language Document Analysis in Social Media Data

1.2.2 Real-world Applications

1.3 Challenges in Social Media Data

1.4 Semantic Analysis of Social Media

1.5 Summary

2 Linguistic Pre-processing of Social Media Texts

2.1 Introduction

2.2 Generic Adaptation Techniques for NLP Tools

2.2.1 Text Normalization

2.2.2 Re-training NLP Tools for Social Media Texts

2.3 Tokenizers

2.4 Part-of-speech Taggers

2.5 Chunkers and Parsers

2.6 Named Entity Recognizers

2.7 Existing NLP Toolkits for English and Their Adaptation

2.8 Multi-linguality and Adaptation to Social Media Texts

2.8.1 Language Identification

2.8.2 Dialect Identification

2.9 Summary

3 Semantic Analysis of Social Media Texts

3.1 Introduction

3.2 Geo-location Detection

3.2.1 Mapping Social Media Information on Maps

3.2.2 Readily Available Geo-location Information

3.2.3 Geo-location based on Network Infrastructure

3.2.4 Geo-location based on the Social Network Structure

3.2.5 Content-based Location Detection

3.2.6 Evaluation Measures for Geo-location Detection

3.3 Entity Linking and Disambiguation

3.3.1 Detecting Entities and Linked Data

3.3.2 Evaluation Measures for Entity Linking

3.4 Opinion Mining and Emotion Analysis

3.4.1 Sentiment Analysis

3.4.2 Emotion Analysis

3.4.3 Sarcasm Detection

3.4.4 Evaluation Measures for Opinion and Emotion Classification

3.5 Event and Topic Detection

3.5.1 Specified vs. Unspecified Event Detection

3.5.2 New vs. Retrospective Events

3.5.3 Emergency Situation Awareness

3.5.4 Evaluation Measures for Event Detection

3.6 Automatic Summarization

3.6.1 Update Summarization

3.6.2 Network Activity Summarization

3.6.3 Event Summarization

3.6.4 Opinion Summarization

3.6.5 Evaluation Measures for Summarization

3.7 Machine Translation

3.7.1 Adapting Phrase-based Machine Translation to Normalize Medical Terms

3.7.2 Translating Government Agencies’ Tweet Feeds

3.7.3 Hashtag Occurrence, Layout, and Translation

3.7.4 Machine Translation for Arabic Social Media

3.7.5 Evaluation Measures for Machine Translation

3.8 Summary

4 Applications of Social Media Text Analysis

4.1 Introduction

4.2 Healthcare Applications

4.3 Financial Applications

4.4 Predicting Voting Intentions

4.5 Media Monitoring

4.6 Security and Defense Applications

4.7 Disaster Response Applications

4.8 NLP-based User Modeling

4.9 Applications for Entertainment

4.10 NLP-based Information Visualization for Social Media

4.11 Government Communication

4.12 Summary

5 Data Collection, Annotation, and Evaluation

5.1 Introduction

5.2 Discussion on Data Collection and Annotation

5.3 Spam and Noise Detection

5.4 Privacy and Democracy in Social Media

5.5 Evaluation Benchmarks

5.6 Summary

6 Conclusion and Perspectives

6.1 Conclusion

6.2 Perspectives

A TRANSLI: a Case Study for Social Media Analytics and Monitoring

A.1 TRANSLI architecture

A.2 User Interface

Glossary

Bibliography

Authors’ Biographies

Index