Data mining approaches for big data and sentiment analysis in social media:
"This book explores the key concepts of data mining and utilizing them on online social media platforms, offering valuable insight into data mining approaches for big data and sentiment analysis in online social media and covering many important security and other aspects and current trends
Gespeichert in:
Weitere Verfasser: | , , , |
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Format: | Elektronisch E-Book |
Sprache: | English |
Veröffentlicht: |
Hershey, Pennsylvania
IGI Global
2021
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Schlagworte: | |
Online-Zugang: | DE-12 DE-1102 DE-1050 DE-573 DE-898 DE-1049 DE-83 DE-91 DE-706 Volltext |
Zusammenfassung: | "This book explores the key concepts of data mining and utilizing them on online social media platforms, offering valuable insight into data mining approaches for big data and sentiment analysis in online social media and covering many important security and other aspects and current trends |
Beschreibung: | Includes bibliographical references and index Chapter 1. Approaches and applications for sentiment analysis: a literature review -- Chapter 2. A survey on building recommendation systems using data mining techniques -- Chapter 3. A survey on sentiment analysis techniques for Twitter -- Chapter 4. Role of social media in the COVID-19 pandemic: a literature review -- Chapter 5. Data mining approaches for sentiment analysis in online social networks (OSNs) -- Chapter 6. Sentiment analysis and summarization of Facebook posts on news media -- Chapter 7. An improved cross-domain sentiment analysis based on a semi-supervised convolutional neural network -- Chapter 8. Detection of economy-related Turkish tweets based on machine learning approaches -- Chapter 9. The stakes of social media: analyzing user sentiments -- Chapter 10. Predicting catastrophic events using machine learning models for natural language processing -- Chapter 11. Clubhouse experience: sentiment analysis of an alternative platform from the eyes of classic social media users. - Mode of access: World Wide Web |
Beschreibung: | 1 Online-Ressource (XVIII, 313 Seiten) |
ISBN: | 9781799884156 |
DOI: | 10.4018/978-1-7998-8413-2 |
Internformat
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245 | 1 | 0 | |a Data mining approaches for big data and sentiment analysis in social media |c Brij B. Gupta, Dragan Perakovic, Ahmed A. Abd El-Latif and Deepak Gupta, editors |
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discipline | Informatik |
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doi_str_mv | 10.4018/978-1-7998-8413-2 |
format | Electronic eBook |
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spelling | Data mining approaches for big data and sentiment analysis in social media Brij B. Gupta, Dragan Perakovic, Ahmed A. Abd El-Latif and Deepak Gupta, editors Hershey, Pennsylvania IGI Global 2021 1 Online-Ressource (XVIII, 313 Seiten) txt rdacontent c rdamedia cr rdacarrier Includes bibliographical references and index Chapter 1. Approaches and applications for sentiment analysis: a literature review -- Chapter 2. A survey on building recommendation systems using data mining techniques -- Chapter 3. A survey on sentiment analysis techniques for Twitter -- Chapter 4. Role of social media in the COVID-19 pandemic: a literature review -- Chapter 5. Data mining approaches for sentiment analysis in online social networks (OSNs) -- Chapter 6. Sentiment analysis and summarization of Facebook posts on news media -- Chapter 7. An improved cross-domain sentiment analysis based on a semi-supervised convolutional neural network -- Chapter 8. Detection of economy-related Turkish tweets based on machine learning approaches -- Chapter 9. The stakes of social media: analyzing user sentiments -- Chapter 10. Predicting catastrophic events using machine learning models for natural language processing -- Chapter 11. Clubhouse experience: sentiment analysis of an alternative platform from the eyes of classic social media users. - Mode of access: World Wide Web "This book explores the key concepts of data mining and utilizing them on online social media platforms, offering valuable insight into data mining approaches for big data and sentiment analysis in online social media and covering many important security and other aspects and current trends Data mining Sentiment analysis Big data Stimmungsbild (DE-588)4662876-9 gnd rswk-swf Big Data (DE-588)4802620-7 gnd rswk-swf Data Mining (DE-588)4428654-5 gnd rswk-swf Social Media (DE-588)4639271-3 gnd rswk-swf Social Media (DE-588)4639271-3 s Data Mining (DE-588)4428654-5 s Big Data (DE-588)4802620-7 s Stimmungsbild (DE-588)4662876-9 s DE-604 Gupta, Brij 1982- (DE-588)1103817469 edt Perakovic, Dragan 1972- edt Latif, Ahmed A. Abd. edt Gupta, Deepak (DE-588)1204268657 edt Erscheint auch als Druck-Ausgabe, hbk 978-1-79988-413-2 Erscheint auch als Druck-Ausgabe, pbk 978-1-79988-414-9 https://doi.org/10.4018/978-1-7998-8413-2 Verlag URL des Erstveröffentlichers Volltext |
spellingShingle | Data mining approaches for big data and sentiment analysis in social media Data mining Sentiment analysis Big data Stimmungsbild (DE-588)4662876-9 gnd Big Data (DE-588)4802620-7 gnd Data Mining (DE-588)4428654-5 gnd Social Media (DE-588)4639271-3 gnd |
subject_GND | (DE-588)4662876-9 (DE-588)4802620-7 (DE-588)4428654-5 (DE-588)4639271-3 |
title | Data mining approaches for big data and sentiment analysis in social media |
title_auth | Data mining approaches for big data and sentiment analysis in social media |
title_exact_search | Data mining approaches for big data and sentiment analysis in social media |
title_exact_search_txtP | Data mining approaches for big data and sentiment analysis in social media |
title_full | Data mining approaches for big data and sentiment analysis in social media Brij B. Gupta, Dragan Perakovic, Ahmed A. Abd El-Latif and Deepak Gupta, editors |
title_fullStr | Data mining approaches for big data and sentiment analysis in social media Brij B. Gupta, Dragan Perakovic, Ahmed A. Abd El-Latif and Deepak Gupta, editors |
title_full_unstemmed | Data mining approaches for big data and sentiment analysis in social media Brij B. Gupta, Dragan Perakovic, Ahmed A. Abd El-Latif and Deepak Gupta, editors |
title_short | Data mining approaches for big data and sentiment analysis in social media |
title_sort | data mining approaches for big data and sentiment analysis in social media |
topic | Data mining Sentiment analysis Big data Stimmungsbild (DE-588)4662876-9 gnd Big Data (DE-588)4802620-7 gnd Data Mining (DE-588)4428654-5 gnd Social Media (DE-588)4639271-3 gnd |
topic_facet | Data mining Sentiment analysis Big data Stimmungsbild Big Data Data Mining Social Media |
url | https://doi.org/10.4018/978-1-7998-8413-2 |
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