Sentiment analysis in social networks:
The aim of Sentiment Analysis is to define automatic tools able to extract subjective information from texts in natural language, such as opinions and sentiments, in order to create structured and actionable knowledge to be used by either a decision support system or a decision maker. Sentiment anal...
Gespeichert in:
| Weitere Verfasser: | , , , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Cambridge, MA
Morgan Kaufmann
2017
|
| Schlagworte: | |
| Online-Zugang: | FLA01 Volltext |
| Zusammenfassung: | The aim of Sentiment Analysis is to define automatic tools able to extract subjective information from texts in natural language, such as opinions and sentiments, in order to create structured and actionable knowledge to be used by either a decision support system or a decision maker. Sentiment analysis has gained even more value with the advent and growth of social networking. Sentiment Analysis in Social Networks begins with an overview of the latest research trends in the field. It then discusses the sociological and psychological processes underling social network interactions. The book explores both semantic and machine learning models and methods that address context-dependent and dynamic text in online social networks, showing how social network streams pose numerous challenges due to their large-scale, short, noisy, context- dependent and dynamic nature. Further, this volume: Takes an interdisciplinary approach from a number of computing domains, including natural language processing, machine learning, big data, and statistical methodologiesProvides insights into opinion spamming, reasoning, and social network analysisShows how to apply sentiment analysis tools for a particular application and domain, and how to get the best results for understanding the consequencesServes as a one-stop reference for the state-of-the-art in social media analytics |
| Beschreibung: | Includes bibliographical references and index |
| Beschreibung: | 1 online resource |
| ISBN: | 9780128044384 0128044381 |
Internformat
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| 520 | |a The aim of Sentiment Analysis is to define automatic tools able to extract subjective information from texts in natural language, such as opinions and sentiments, in order to create structured and actionable knowledge to be used by either a decision support system or a decision maker. Sentiment analysis has gained even more value with the advent and growth of social networking. Sentiment Analysis in Social Networks begins with an overview of the latest research trends in the field. It then discusses the sociological and psychological processes underling social network interactions. The book explores both semantic and machine learning models and methods that address context-dependent and dynamic text in online social networks, showing how social network streams pose numerous challenges due to their large-scale, short, noisy, context- dependent and dynamic nature. Further, this volume: Takes an interdisciplinary approach from a number of computing domains, including natural language processing, machine learning, big data, and statistical methodologiesProvides insights into opinion spamming, reasoning, and social network analysisShows how to apply sentiment analysis tools for a particular application and domain, and how to get the best results for understanding the consequencesServes as a one-stop reference for the state-of-the-art in social media analytics | ||
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| 700 | 1 | |a Liu, Bing |4 edt | |
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| author2 | Pozzi, Federico Alberto Fersini, Elisabetta Messina, Enza Liu, Bing |
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| author_facet | Pozzi, Federico Alberto Fersini, Elisabetta Messina, Enza Liu, Bing |
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| bvnumber | BV046127025 |
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| dewey-full | 006.3/12 |
| dewey-hundreds | 000 - Computer science, information, general works |
| dewey-ones | 006 - Special computer methods |
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| dewey-search | 006.3/12 |
| dewey-sort | 16.3 212 |
| dewey-tens | 000 - Computer science, information, general works |
| discipline | Informatik |
| format | Electronic eBook |
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| spelling | Sentiment analysis in social networks edited by Federico Alberto Pozzi, Elisabetta Fersini, Enza Messina, Bing Liu Cambridge, MA Morgan Kaufmann 2017 © 2017 1 online resource txt rdacontent c rdamedia cr rdacarrier Includes bibliographical references and index The aim of Sentiment Analysis is to define automatic tools able to extract subjective information from texts in natural language, such as opinions and sentiments, in order to create structured and actionable knowledge to be used by either a decision support system or a decision maker. Sentiment analysis has gained even more value with the advent and growth of social networking. Sentiment Analysis in Social Networks begins with an overview of the latest research trends in the field. It then discusses the sociological and psychological processes underling social network interactions. The book explores both semantic and machine learning models and methods that address context-dependent and dynamic text in online social networks, showing how social network streams pose numerous challenges due to their large-scale, short, noisy, context- dependent and dynamic nature. Further, this volume: Takes an interdisciplinary approach from a number of computing domains, including natural language processing, machine learning, big data, and statistical methodologiesProvides insights into opinion spamming, reasoning, and social network analysisShows how to apply sentiment analysis tools for a particular application and domain, and how to get the best results for understanding the consequencesServes as a one-stop reference for the state-of-the-art in social media analytics COMPUTERS / Natural Language Processing bisacsh Computational linguistics fast Natural language processing (Computer science) fast Social networks fast Natural language processing (Computer science) Computational linguistics Social networks Data Mining (DE-588)4428654-5 gnd rswk-swf Netzwerkanalyse (DE-588)4075298-7 gnd rswk-swf 1\p (DE-588)4143413-4 Aufsatzsammlung gnd-content Data Mining (DE-588)4428654-5 s Netzwerkanalyse (DE-588)4075298-7 s 2\p DE-604 Pozzi, Federico Alberto edt Fersini, Elisabetta edt Messina, Enza edt Liu, Bing edt Erscheint auch als Druck-Ausgabe 0128044128 Erscheint auch als Druck-Ausgabe 9780128044124 http://www.sciencedirect.com/science/book/9780128044124 Verlag URL des Erstveröffentlichers Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk 2\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Sentiment analysis in social networks COMPUTERS / Natural Language Processing bisacsh Computational linguistics fast Natural language processing (Computer science) fast Social networks fast Natural language processing (Computer science) Computational linguistics Social networks Data Mining (DE-588)4428654-5 gnd Netzwerkanalyse (DE-588)4075298-7 gnd |
| subject_GND | (DE-588)4428654-5 (DE-588)4075298-7 (DE-588)4143413-4 |
| title | Sentiment analysis in social networks |
| title_auth | Sentiment analysis in social networks |
| title_exact_search | Sentiment analysis in social networks |
| title_full | Sentiment analysis in social networks edited by Federico Alberto Pozzi, Elisabetta Fersini, Enza Messina, Bing Liu |
| title_fullStr | Sentiment analysis in social networks edited by Federico Alberto Pozzi, Elisabetta Fersini, Enza Messina, Bing Liu |
| title_full_unstemmed | Sentiment analysis in social networks edited by Federico Alberto Pozzi, Elisabetta Fersini, Enza Messina, Bing Liu |
| title_short | Sentiment analysis in social networks |
| title_sort | sentiment analysis in social networks |
| topic | COMPUTERS / Natural Language Processing bisacsh Computational linguistics fast Natural language processing (Computer science) fast Social networks fast Natural language processing (Computer science) Computational linguistics Social networks Data Mining (DE-588)4428654-5 gnd Netzwerkanalyse (DE-588)4075298-7 gnd |
| topic_facet | COMPUTERS / Natural Language Processing Computational linguistics Natural language processing (Computer science) Social networks Data Mining Netzwerkanalyse Aufsatzsammlung |
| url | http://www.sciencedirect.com/science/book/9780128044124 |
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