Natural language processing for social media:
Gespeichert in:
| Hauptverfasser: | , |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
[San Rafael, Calif.]
Morgan & Claypool
2015
|
| Schriftenreihe: | Synthesis lectures on human language technologies
30 |
| Schlagworte: | |
| Online-Zugang: | Inhaltsverzeichnis |
| Beschreibung: | 146 S. graph. Darst., Kt. |
| ISBN: | 9781627053884 |
Internformat
MARC
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Datensatz im Suchindex
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| adam_text | Contents
Preface......................................................................xv
Acknowledgments.............................................................xix
1 Introduction to Social Media Analysis....................................... 1
1.1 Introduction...........................................................1
1.2 Social Media Applications..............................................6
1.2.1 Cross-Language Document Analysis in Social Media Data............7
1.2.2 Real-World Applications..........................................7
1.3 Challenges in Social Media Data........................................9
1.4 Semantic Analysis of Social Media.....................................11
1.5 Summary...............................................................13
2 Linguistic Pre-processing
of Social Media Texts........................................................15
2.1 Introduction..........................................................15
2.2 Generic Adaptation Techniques for NLP Tools...........................16
2.2.1 Text Normalization..............................................17
2.2.2 Re-Training NLP Tools for Social Media Texts ...................18
2.3 Tokenizers ...........................................................18
2.4 Part-of-Speech Taggers................................................19
2.5 Chunkers and Parsers..................................................21
2.6 Named Entity Recognizers..............................................24
2.7 Existing NLP Toolkits for English and Their Adaptation................25
2.8 Multi-Linguality and Adaptation to Social Media Texts.................27
2.8.1 Language Identification.........................................27
2.8.2 Dialect Identification .........................................29
2.9 Summary...............................................................35
3 Semantic Analysis of Social Media Texts......................................37
3.1 Introduction..........................................................37
3.2 Geo-Location Detection.................................................37
3.2.1 Readily Available Geo-Location Information.......................38
3.2.2 Geo-Location Based on Network Infrastructure.....................38
3.2.3 Geo-Location Based on the Social Network Structure...............38
3.2.4 Content-Based Location Detection.................................39
3.2.5 Evaluation Measures for Geo-Location Detection...................42
3.3 Entity Linking and Disambiguation.......................................43
3.3.1 Evaluation Measures for Entity Linking...........................46
3.4 Opinion Mining and Emotion Analysis.....................................47
3.4.1 Sentiment Analysis...............»..............................47
3.4.2 Emotion Analysis.................................................50
3.4.3 Sarcasm Detection ...............................................51
3.4.4 Evaluation Measures for Opinion and Emotion Classification.......52
3.5 Event and Topic Detection...............................................53
3.5.1 Specified Versus Unspecified Event Detection.....................54
3.5.2 New Versus Retrospective Events..................................60
3.5.3 Emergency Situation Awareness....................................61
3.5.4 Evaluation Measures for Event Detection..........................62
3.6 Automatic Summarization.................................................62
3.6.1 Update Summarization.............................................63
3.6.2 Network Activity Summarization ..................................64
3.6.3 Event Summarization..............................................64
3.6.4 Opinion Summarization ...........................................65
3.6.5 Evaluation Measures for Summarization............................66
3.7 Machine Translation ....................................................66
3.7.1 Translating Government Agencies Tweet Feeds.....................67
3.7.2 Hashtag Occurrence, Layout, and Translation......................69
3.7.3 Machine Translation for Arabic Social Media......................71
3.7.4 Evaluation Measures for Machine Translation.................... 73
3.8 Summary.................................................................74
4 Applications of Social Media Text Analysis...................................75
4.1 Introduction............................................................75
4.2 Health Care Applications ...............................................75
4.3 Financial Applications..................................................77
4.4 Predicting Voting Intentions............................................78
4.5 Media Monitoring........................................................80
4.6 Security and Defense Applications.....................................81
4.7 Disaster Response Applications........................................83
4.8 NLP-Based User Modeling...............................................84
4.9 Applications for Entertainment........................................89
4.10 NLP-Based Information Visualization for Social Media..................90
4.11 Summary...............................................................90
5 Data Collection, Annotation, and Evaluation..................................93
5.1 Introduction..........................................................93
5.2 Discussion on Data Collection and Annotation..........................93
5.3 Spam and Noise Detection..............................................94
5.4 Privacy and Democracy in Social Media.................................96
5.5 Evaluation Benchmarks.................................................97
5.6 Summary...............................................................99
6 Conclusion and Perspectives.................................................101
6.1 Conclusion...........................................................101
6.2 Perspectives.........................................................101
A TRANSLI: A Case Study for Social Media Analytics and Monitoring...........105
A.l TRANS LI architecture................................................105
A.2 User Interface.......................................................106
Glossary...................................................................109
Bibliography...............................................................Ill
Authors’Biographies........................................................145
|
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| id | DE-604.BV042873706 |
| illustrated | Illustrated |
| indexdate | 2024-07-10T07:11:49Z |
| institution | BVB |
| isbn | 9781627053884 |
| language | English |
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| publishDate | 2015 |
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| series | Synthesis lectures on human language technologies |
| series2 | Synthesis lectures on human language technologies |
| spelling | Farzindar, Atefeh Verfasser aut Natural language processing for social media Atefeh Farzindar ; Diana Inkpen [San Rafael, Calif.] Morgan & Claypool 2015 146 S. graph. Darst., Kt. txt rdacontent n rdamedia nc rdacarrier Synthesis lectures on human language technologies 30 Sprachverarbeitung (DE-588)4116579-2 gnd rswk-swf Social Media (DE-588)4639271-3 gnd rswk-swf Natürliche Sprache (DE-588)4041354-8 gnd rswk-swf Natürliche Sprache (DE-588)4041354-8 s Sprachverarbeitung (DE-588)4116579-2 s Social Media (DE-588)4639271-3 s DE-604 Inkpen, Diana Verfasser aut Synthesis lectures on human language technologies 30 (DE-604)BV035447238 30 Digitalisierung UB Regensburg - ADAM Catalogue Enrichment application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=028302768&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Farzindar, Atefeh Inkpen, Diana Natural language processing for social media Synthesis lectures on human language technologies Sprachverarbeitung (DE-588)4116579-2 gnd Social Media (DE-588)4639271-3 gnd Natürliche Sprache (DE-588)4041354-8 gnd |
| subject_GND | (DE-588)4116579-2 (DE-588)4639271-3 (DE-588)4041354-8 |
| title | Natural language processing for social media |
| title_auth | Natural language processing for social media |
| title_exact_search | Natural language processing for social media |
| title_full | Natural language processing for social media Atefeh Farzindar ; Diana Inkpen |
| title_fullStr | Natural language processing for social media Atefeh Farzindar ; Diana Inkpen |
| title_full_unstemmed | Natural language processing for social media Atefeh Farzindar ; Diana Inkpen |
| title_short | Natural language processing for social media |
| title_sort | natural language processing for social media |
| topic | Sprachverarbeitung (DE-588)4116579-2 gnd Social Media (DE-588)4639271-3 gnd Natürliche Sprache (DE-588)4041354-8 gnd |
| topic_facet | Sprachverarbeitung Social Media Natürliche Sprache |
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