Natural language processing for social media:
Gespeichert in:
| Hauptverfasser: | , |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
[San Rafael, California]
Morgan & Claypool Publishers
[2018]
|
| Ausgabe: | Second edition |
| Schriftenreihe: | Synthesis lectures on human language technologies
38 |
| Schlagworte: | |
| Online-Zugang: | Inhaltsverzeichnis Inhaltsverzeichnis |
| Beschreibung: | xix, 175 Seiten Illustrationen |
| ISBN: | 9781681736129 9781681736143 |
Internformat
MARC
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| 245 | 1 | 0 | |a Natural language processing for social media |c Atefeh Farzindar (University of Southern California), Diana Inkpen (University of Ottawa) |
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Datensatz im Suchindex
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|---|---|
| adam_text | Preface to the Second Edition..............................................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 ......................................8
1.4 Semantic Analysis of Social Media....................................12
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..........................17
2.2.1 Text Normalization.............................................17
2.2.2 Re-training NLP Tools for Social Media Texts...................19
2.3 Tokenizers...........................................................20
2.4 Part-of-speech Taggers ............................................. 22
2.5 Chunkers and Parsers.................................................24
2.6 Named Entity Recognizers.............................................27
2.7 Existing NLP Toolkits for English and Their Adaptation...............29
2.8 MultiTinguality and Adaptation to Social Media Texts.................31
2.8.1 Language Identification........................................31
2.8.2 Dialect Identification.........................................33
2.9 Summary .............................................................39
3 Semantic Analysis of Social Media Texts.....................................41
3.1 Introduction.........................................................41
3.2 Geo-location Detection...............................................41
xn
3.2.1 Mapping Social Media Information on Maps.......................42
3.2.2 Readily Available Geo-location Information......................42
3.2.3 Geo-location based on Network Infrastructure....................42
3.2.4 Geo-location based on the Social Network Structure..............43
3.2.5 Content-based Location Detection................................43
3.2.6 Evaluation Measures for Geo-location Detection.................47
3.3 Entity Linking and Disambiguation......................................49
3.3.1 Detecting Entities and Linked Data..............................50
3.3.2 Evaluation Measures for Entity Linking..........................52
3.4 Opinion Mining and Emotion Analysis....................................53
3.4.1 Sentiment Analysis..............................................53
3.4.2 Emotion Analysis................................................56
3.4.3 Sarcasm Detection ..............................................58
3.4.4 Evaluation Measures for Opinion and Emotion Classification......59
3.5 Event and Topic Detection..............................................61
3.5.1 Specified vs. Unspecified Event Detection.......................61
3.5.2 New vs. Retrospective Events....................................67
3.5.3 Emergency Situation Awareness ..................................68
3.5.4 Evaluation Measures for Event Detection.........................69
3.6 Automatic Summarization................................................69
3.6.1 Update Summarization............................................71
3.6.2 Network Activity Summarization .................................71
3.6.3 Event Summarization.............................................72
3.6.4 Opinion Summarization ..........................................72
3.6.5 Evaluation Measures for Summarization...........................73
3.7 Machine Translation....................................................74
3.7.1 Adapting Phrase-based Machine Translation to Normalize Medical
Terms........................................................... 75
3.7.2 Translating Government Agencies Tweet Feeds.....................76
3.7.3 Hashtag Occurrence, Layout, and Translation.....................77
3.7.4 Machine Translation for Arabic Social Media.....................80
3.7.5 Evaluation Measures for Machine Translation ....................82
3.8 Summary................................................................82
4 Applications of Social Media Text Analysis..................................85
4.1 Introduction...........................................................85
4.2 Healthcare Applications................................................85
XU1
4.3 Financial Applications................................................92
4.4 Predicting Voting Intentions..........................................95
4.5 Media Monitoring......................................................97
4.6 Security and Defense Applications.....................................99
4.7 Disaster Response Applications.......................................102
4.8 NLP-based User Modeling........................................... 104
4.9 Applications for Entertainment.......................................109
4.10 NLP-based Information Visualization for Social Media.................Ill
4.11 Government Communication.............................................Ill
4.12 Summary..............................................................112
5 Data Collection, Annotation, and Evaluation................................113
5.1 Introduction.........................................................113
5.2 Discussion on Data Collection and Annotation.........................113
5.3 Spam and Noise Detection.............................................114
5.4 Privacy and Democracy in Social Media................................116
5.5 Evaluation Benchmarks................................................117
5.6 Summary..............................................................119
6 Conclusion and Perspectives.............................................. 121
6.1 Conclusion...........................................................121
6.2 Perspectives.........................................................121
A TRANSLI: a Case Study for Social Media Analytics and Monitoring............125
A.l TRANSLI architecture.................................................125
A.2 User Interface.......................................................126
Glossary...................................................................131
Bibliography...............................................................133
Authors’ Biographies.......................................................173
Index......................................................................175
Preface to the Second Edition..............................................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 ......................................8
1.4 Semantic Analysis of Social Media....................................12
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..........................17
2.2.1 Text Normalization.............................................17
2.2.2 Re-training NLP Tools for Social Media Texts...................19
2.3 Tokenizers...........................................................20
2.4 Part-of-speech Taggers ............................................. 22
2.5 Chunkers and Parsers.................................................24
2.6 Named Entity Recognizers.............................................27
2.7 Existing NLP Toolkits for English and Their Adaptation...............29
2.8 MultiTinguality and Adaptation to Social Media Texts.................31
2.8.1 Language Identification........................................31
2.8.2 Dialect Identification.........................................33
2.9 Summary .............................................................39
3 Semantic Analysis of Social Media Texts.....................................41
3.1 Introduction.........................................................41
3.2 Geo-location Detection...............................................41
xn
3.2.1 Mapping Social Media Information on Maps.......................42
3.2.2 Readily Available Geo-location Information......................42
3.2.3 Geo-location based on Network Infrastructure...................42
3.2.4 Geo-location based on the Social Network Structure.............43
3.2.5 Content-based Location Detection................................43
3.2.6 Evaluation Measures for Geo-location Detection.................47
3.3 Entity Linking and Disambiguation.....................................49
3.3.1 Detecting Entities and Linked Data..............................50
3.3.2 Evaluation Measures for Entity Linking..........................52
3.4 Opinion Mining and Emotion Analysis...................................53
3.4.1 Sentiment Analysis..............................................53
3.4.2 Emotion Analysis................................................56
3.4.3 Sarcasm Detection ..............................................58
3.4.4 Evaluation Measures for Opinion and Emotion Classification......59
3.5 Event and Topic Detection.............................................61
3.5.1 Specified vs. Unspecified Event Detection.......................61
3.5.2 New vs. Retrospective Events....................................67
3.5.3 Emergency Situation Awareness ..................................68
3.5.4 Evaluation Measures for Event Detection.........................69
3.6 Automatic Summarization...............................................69
3.6.1 Update Summarization............................................71
3.6.2 Network Activity Summarization .................................71
3.6.3 Event Summarization.............................................72
3.6.4 Opinion Summarization ..........................................72
3.6.5 Evaluation Measures for Summarization...........................73
3.7 Machine Translation...................................................74
3.7.1 Adapting Phrase-based Machine Translation to Normalize Medical
Terms.......................................................... 75
3.7.2 Translating Government Agencies Tweet Feeds.....................76
3.7.3 Hashtag Occurrence, Layout, and Translation.....................77
3.7.4 Machine Translation for Arabic Social Media.....................80
3.7.5 Evaluation Measures for Machine Translation ....................82
3.8 Summary...............................................................82
4 Applications of Social Media Text Analysis..................................85
4.1 Introduction..........................................................85
4.2 Healthcare Applications...............................................85
XU1
4.3 Financial Applications................................................92
4.4 Predicting Voting Intentions..........................................95
4.5 Media Monitoring......................................................97
4.6 Security and Defense Applications.....................................99
4.7 Disaster Response Applications.......................................102
4.8 NLP-based User Modeling........................................... 104
4.9 Applications for Entertainment.......................................109
4.10 NLP-based Information Visualization for Social Media.................Ill
4.11 Government Communication.............................................Ill
4.12 Summary..............................................................112
5 Data Collection, Annotation, and Evaluation................................113
5.1 Introduction.........................................................113
5.2 Discussion on Data Collection and Annotation.........................113
5.3 Spam and Noise Detection.............................................114
5.4 Privacy and Democracy in Social Media................................116
5.5 Evaluation Benchmarks................................................117
5.6 Summary..............................................................119
6 Conclusion and Perspectives.............................................. 121
6.1 Conclusion...........................................................121
6.2 Perspectives.........................................................121
A TRANSLI: a Case Study for Social Media Analytics and Monitoring............125
A.l TRANSLI architecture.................................................125
A.2 User Interface.......................................................126
Glossary...................................................................131
Bibliography...............................................................133
Authors’ Biographies.......................................................173
Index......................................................................175
|
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| language | English |
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| spelling | Farzindar, Atefeh Verfasser (DE-588)1152393022 aut Natural language processing for social media Atefeh Farzindar (University of Southern California), Diana Inkpen (University of Ottawa) Second edition [San Rafael, California] Morgan & Claypool Publishers [2018] xix, 175 Seiten Illustrationen txt rdacontent n rdamedia nc rdacarrier Synthesis lectures on human language technologies 38 Social Media (DE-588)4639271-3 gnd rswk-swf Natürliche Sprache (DE-588)4041354-8 gnd rswk-swf Sprachverarbeitung (DE-588)4116579-2 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 (DE-588)1152393189 aut Erscheint auch als Online-Ausgabe Farzindar, Atefeh Natural language processing for social media Second edition, 2018 1 Online-Ressource (xix, 175 Seiten) 978-1-68173-613-6 9781681736231 Synthesis lectures on human language technologies 38 (DE-604)BV035447238 38 Digitalisierung UB Passau - ADAM Catalogue Enrichment application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=030312203&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis Digitalisierung UB Passau - ADAM Catalogue Enrichment application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=030312203&sequence=000003&line_number=0002&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 Social Media (DE-588)4639271-3 gnd Natürliche Sprache (DE-588)4041354-8 gnd Sprachverarbeitung (DE-588)4116579-2 gnd |
| subject_GND | (DE-588)4639271-3 (DE-588)4041354-8 (DE-588)4116579-2 |
| 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 (University of Southern California), Diana Inkpen (University of Ottawa) |
| title_fullStr | Natural language processing for social media Atefeh Farzindar (University of Southern California), Diana Inkpen (University of Ottawa) |
| title_full_unstemmed | Natural language processing for social media Atefeh Farzindar (University of Southern California), Diana Inkpen (University of Ottawa) |
| title_short | Natural language processing for social media |
| title_sort | natural language processing for social media |
| topic | Social Media (DE-588)4639271-3 gnd Natürliche Sprache (DE-588)4041354-8 gnd Sprachverarbeitung (DE-588)4116579-2 gnd |
| topic_facet | Social Media Natürliche Sprache Sprachverarbeitung |
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| volume_link | (DE-604)BV035447238 |
| work_keys_str_mv | AT farzindaratefeh naturallanguageprocessingforsocialmedia AT inkpendiana naturallanguageprocessingforsocialmedia |
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