New opportunities for sentiment analysis and information processing:
"This book provides a unique contribution to the various interdisciplinary fields of information retrieval and sentiment analysis, which are fueling the revolutionary growth of digital marketing and changes in the market game but also presents new opportunities for skilled professional skilled...
Gespeichert in:
| Weitere Verfasser: | , , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA) :
IGI Global,
[2021]
|
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Zusammenfassung: | "This book provides a unique contribution to the various interdisciplinary fields of information retrieval and sentiment analysis, which are fueling the revolutionary growth of digital marketing and changes in the market game but also presents new opportunities for skilled professional skilled and expertise"-- |
| Beschreibung: | 21 PDFs (311 pages) Also available in print. |
| Format: | Mode of access: World Wide Web. |
| Bibliographie: | Includes bibliographical references and index. |
| ISBN: | 179988063X 9781799880639 |
| Zugangseinschränkungen: | Restricted to subscribers or individual electronic text purchasers. |
Internformat
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| 245 | 0 | 0 | |a New opportunities for sentiment analysis and information processing |c Aakansha Sharaff, G.R. Ram Sinha, and Surbhi Bhatia, editors. |
| 264 | 1 | |a Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA) : |b IGI Global, |c [2021] | |
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| 504 | |a Includes bibliographical references and index. | ||
| 505 | 0 | |a Chapter 1. Deep learning based sentiment analysis for phishing SMS detection -- Chapter 2. Deep learning approach towards unstructured text data utilization: development, opportunities, and challenges -- Chapter 3. Information retrieval in the hidden Web -- Chapter 4. Social media induced transformations in healthcare: a data perspective -- Chapter 5. Testing the Smartmunk's Story.ly app for the analysis of online customer reviews on face masks -- Chapter 6. Exploring critical success factors towards adoption of m-government services in Tanzania: a web analytics study -- Chapter 7. Biomedical text summarization based on the itemset mining approach -- Chapter 8. Answer selection in community question answering using LSTM -- Chapter 9. An analysis on e-learning and its recommendations -- Chapter 10. A proposed solution for identifying online fake reviews in the research process -- Chapter 11. Sentiment, stance, and intent detection in Turkish tweets -- Chapter 12. Fndnlstm: fake news detection on social media using deep learning (DL) techniques -- Chapter 13. Word embedding techniques for sentiment analyzers: a review -- Chapter 14. Sentiment time series analysis on US economic news. | |
| 506 | |a Restricted to subscribers or individual electronic text purchasers. | ||
| 520 | 3 | |a "This book provides a unique contribution to the various interdisciplinary fields of information retrieval and sentiment analysis, which are fueling the revolutionary growth of digital marketing and changes in the market game but also presents new opportunities for skilled professional skilled and expertise"-- |c Provided by publisher. | |
| 530 | |a Also available in print. | ||
| 538 | |a Mode of access: World Wide Web. | ||
| 588 | |a Description based on title screen (IGI Global, viewed 08/32/2021). | ||
| 650 | 0 | |a Data mining |x Industrial applications. | |
| 650 | 0 | |a Internet marketing. | |
| 650 | 0 | |a Sentiment analysis. | |
| 650 | 7 | |a Internet marketing. |2 fast | |
| 650 | 7 | |a Sentiment analysis. |2 fast | |
| 655 | 4 | |a Electronic books. | |
| 700 | 1 | |a Bhatia, Surbhi |d 1988- |e editor. | |
| 700 | 1 | |a Sharaff, Aakansha |d 1989- |e editor. | |
| 700 | 1 | |a Sinha, G. R. |d 1975- |e editor. | |
| 710 | 2 | |a IGI Global, |e publisher. | |
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| 912 | |a ZDB-98-IGB | ||
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| contents | Chapter 1. Deep learning based sentiment analysis for phishing SMS detection -- Chapter 2. Deep learning approach towards unstructured text data utilization: development, opportunities, and challenges -- Chapter 3. Information retrieval in the hidden Web -- Chapter 4. Social media induced transformations in healthcare: a data perspective -- Chapter 5. Testing the Smartmunk's Story.ly app for the analysis of online customer reviews on face masks -- Chapter 6. Exploring critical success factors towards adoption of m-government services in Tanzania: a web analytics study -- Chapter 7. Biomedical text summarization based on the itemset mining approach -- Chapter 8. Answer selection in community question answering using LSTM -- Chapter 9. An analysis on e-learning and its recommendations -- Chapter 10. A proposed solution for identifying online fake reviews in the research process -- Chapter 11. Sentiment, stance, and intent detection in Turkish tweets -- Chapter 12. Fndnlstm: fake news detection on social media using deep learning (DL) techniques -- Chapter 13. Word embedding techniques for sentiment analyzers: a review -- Chapter 14. Sentiment time series analysis on US economic news. |
| ctrlnum | (CaBNVSL)slc00001761 (OCoLC)1266533264 |
| dewey-full | 006.3/12 |
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| spelling | New opportunities for sentiment analysis and information processing Aakansha Sharaff, G.R. Ram Sinha, and Surbhi Bhatia, editors. Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA) : IGI Global, [2021] 21 PDFs (311 pages) text rdacontent electronic isbdmedia online resource rdacarrier Includes bibliographical references and index. Chapter 1. Deep learning based sentiment analysis for phishing SMS detection -- Chapter 2. Deep learning approach towards unstructured text data utilization: development, opportunities, and challenges -- Chapter 3. Information retrieval in the hidden Web -- Chapter 4. Social media induced transformations in healthcare: a data perspective -- Chapter 5. Testing the Smartmunk's Story.ly app for the analysis of online customer reviews on face masks -- Chapter 6. Exploring critical success factors towards adoption of m-government services in Tanzania: a web analytics study -- Chapter 7. Biomedical text summarization based on the itemset mining approach -- Chapter 8. Answer selection in community question answering using LSTM -- Chapter 9. An analysis on e-learning and its recommendations -- Chapter 10. A proposed solution for identifying online fake reviews in the research process -- Chapter 11. Sentiment, stance, and intent detection in Turkish tweets -- Chapter 12. Fndnlstm: fake news detection on social media using deep learning (DL) techniques -- Chapter 13. Word embedding techniques for sentiment analyzers: a review -- Chapter 14. Sentiment time series analysis on US economic news. Restricted to subscribers or individual electronic text purchasers. "This book provides a unique contribution to the various interdisciplinary fields of information retrieval and sentiment analysis, which are fueling the revolutionary growth of digital marketing and changes in the market game but also presents new opportunities for skilled professional skilled and expertise"-- Provided by publisher. Also available in print. Mode of access: World Wide Web. Description based on title screen (IGI Global, viewed 08/32/2021). Data mining Industrial applications. Internet marketing. Sentiment analysis. Internet marketing. fast Sentiment analysis. fast Electronic books. Bhatia, Surbhi 1988- editor. Sharaff, Aakansha 1989- editor. Sinha, G. R. 1975- editor. IGI Global, publisher. (Original) (DLC)2021017694 Print version: 1799880613 9781799880615 (DLC) 2021017694 FWS01 ZDB-98-IGB FWS_PDA_IGB http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-7998-8061-5 Volltext |
| spellingShingle | New opportunities for sentiment analysis and information processing Chapter 1. Deep learning based sentiment analysis for phishing SMS detection -- Chapter 2. Deep learning approach towards unstructured text data utilization: development, opportunities, and challenges -- Chapter 3. Information retrieval in the hidden Web -- Chapter 4. Social media induced transformations in healthcare: a data perspective -- Chapter 5. Testing the Smartmunk's Story.ly app for the analysis of online customer reviews on face masks -- Chapter 6. Exploring critical success factors towards adoption of m-government services in Tanzania: a web analytics study -- Chapter 7. Biomedical text summarization based on the itemset mining approach -- Chapter 8. Answer selection in community question answering using LSTM -- Chapter 9. An analysis on e-learning and its recommendations -- Chapter 10. A proposed solution for identifying online fake reviews in the research process -- Chapter 11. Sentiment, stance, and intent detection in Turkish tweets -- Chapter 12. Fndnlstm: fake news detection on social media using deep learning (DL) techniques -- Chapter 13. Word embedding techniques for sentiment analyzers: a review -- Chapter 14. Sentiment time series analysis on US economic news. Data mining Industrial applications. Internet marketing. Sentiment analysis. Internet marketing. fast Sentiment analysis. fast |
| title | New opportunities for sentiment analysis and information processing |
| title_auth | New opportunities for sentiment analysis and information processing |
| title_exact_search | New opportunities for sentiment analysis and information processing |
| title_full | New opportunities for sentiment analysis and information processing Aakansha Sharaff, G.R. Ram Sinha, and Surbhi Bhatia, editors. |
| title_fullStr | New opportunities for sentiment analysis and information processing Aakansha Sharaff, G.R. Ram Sinha, and Surbhi Bhatia, editors. |
| title_full_unstemmed | New opportunities for sentiment analysis and information processing Aakansha Sharaff, G.R. Ram Sinha, and Surbhi Bhatia, editors. |
| title_short | New opportunities for sentiment analysis and information processing |
| title_sort | new opportunities for sentiment analysis and information processing |
| topic | Data mining Industrial applications. Internet marketing. Sentiment analysis. Internet marketing. fast Sentiment analysis. fast |
| topic_facet | Data mining Industrial applications. Internet marketing. Sentiment analysis. Electronic books. |
| url | http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-7998-8061-5 |
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