Sentiment analysis and knowledge discovery in contemporary business:
"This book explores what drives profitability and more successful customer relationship management. It looks the behavior of any classifier used to classify sentiments in product reviews. It also develops common expert system to classify and visualize the predicted result"--
Gespeichert in:
| Weitere Verfasser: | , , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA) :
IGI Global,
2019.
|
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Zusammenfassung: | "This book explores what drives profitability and more successful customer relationship management. It looks the behavior of any classifier used to classify sentiments in product reviews. It also develops common expert system to classify and visualize the predicted result"-- |
| Beschreibung: | 28 PDFs (xxi, 333 pages) Also available in print. |
| Format: | Mode of access: World Wide Web. |
| Bibliographie: | Includes bibliographical references and index. |
| ISBN: | 9781522550006 |
| Zugangseinschränkungen: | Restricted to subscribers or individual electronic text purchasers. |
Internformat
MARC
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|---|---|---|---|
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| 003 | IGIG | ||
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| 008 | 180808s2019 pau fob 001 0 eng d | ||
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| 020 | |a 9781522550006 |q ebook | ||
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| 024 | 7 | |a 10.4018/978-1-5225-4999-4 |2 doi | |
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| 035 | |a (OCoLC)1048270301 | ||
| 040 | |a CaBNVSL |b eng |e rda |c CaBNVSL |d CaBNVSL | ||
| 050 | 4 | |a HF5415.32 |b .S46 2019e | |
| 082 | 7 | |a 658.8/342 |2 23 | |
| 245 | 0 | 0 | |a Sentiment analysis and knowledge discovery in contemporary business |c Dharmendra Singh Rajput, Ramjeevan Singh Thakur, and S. Muzamil Basha, editors. |
| 264 | 1 | |a Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA) : |b IGI Global, |c 2019. | |
| 300 | |a 28 PDFs (xxi, 333 pages) | ||
| 336 | |a text |2 rdacontent | ||
| 337 | |a electronic |2 isbdmedia | ||
| 338 | |a online resource |2 rdacarrier | ||
| 504 | |a Includes bibliographical references and index. | ||
| 505 | 0 | |a Section 1. Introduction and applications of sentiment analysis. Chapter 1. A study and comparison of sentiment analysis techniques using demonetization: case study ; Chapter 2. Approaches to sentiment analysis on product reviews ; Chapter 3. Sentimental analysis in various business applications ; Chapter 4. A Survey on implementation methods and applications of sentiment analysis ; Chapter 5. Analysis of public sentiments about mega online sale using tweets on big billions day sale ; Chapter 6. Application of sentiment analysis in movie reviews -- Section 2. Data mining and machine learning algorithms. Chapter 7. Implementation of data mining algorithm with r ; Chapter 8. Introduction and implementation of machine learning algorithms in R ; Chapter 9. Conceptual approach to predict loan defaults using decision trees ; Chapter 10. Application of data mining techniques in weather forecasting ; Chapter 11. Data mining and machine learning approaches in breast cancer biomedical research ; Chapter 12. Data visualization in R ; Chapter 13. Ideating a recommender system for business growth using profit pattern mining and uncertainty theory -- Section 3. Big data streams and its applications. Chapter 14. Mining data streams ; Chapter 15. Introduction to big data and business analytics ; Chapter 16. Applications of domain-specific predictive analytics applied to big data. | |
| 506 | |a Restricted to subscribers or individual electronic text purchasers. | ||
| 520 | 3 | |a "This book explores what drives profitability and more successful customer relationship management. It looks the behavior of any classifier used to classify sentiments in product reviews. It also develops common expert system to classify and visualize the predicted result"-- |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 08/08/2018). | ||
| 650 | 0 | |a Consumer behavior. | |
| 650 | 0 | |a Consumers |x Public opinion. | |
| 650 | 0 | |a Customer relations. | |
| 650 | 0 | |a Discourse analysis |x Data processing. | |
| 700 | 1 | |a Basha, S. Muzamil |d 1986- |e editor. | |
| 700 | 1 | |a Rajput, Dharmendra Singh |d 1985- |e editor. | |
| 700 | 1 | |a Thakur, Ramjeevan Singh |d 1974- |e editor. | |
| 710 | 2 | |a IGI Global, |e publisher. | |
| 776 | 0 | |c (Original) |w (DLC)2017054579 | |
| 776 | 0 | 8 | |i Print version: |z 1522549994 |z 9781522549994 |w (DLC) 2017054579 |
| 856 | 4 | 0 | |l FWS01 |p ZDB-98-IGB |q FWS_PDA_IGB |u http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-5225-4999-4 |3 Volltext |
| 912 | |a ZDB-98-IGB | ||
| 049 | |a DE-863 | ||
Datensatz im Suchindex
| DE-BY-FWS_katkey | ZDB-98-IGB-00185750 |
|---|---|
| _version_ | 1816797079665639424 |
| adam_text | |
| any_adam_object | |
| author2 | Basha, S. Muzamil 1986- Rajput, Dharmendra Singh 1985- Thakur, Ramjeevan Singh 1974- |
| author2_role | edt edt edt |
| author2_variant | s m b sm smb d s r ds dsr r s t rs rst |
| author_facet | Basha, S. Muzamil 1986- Rajput, Dharmendra Singh 1985- Thakur, Ramjeevan Singh 1974- |
| building | Verbundindex |
| bvnumber | localFWS |
| callnumber-first | H - Social Science |
| callnumber-label | HF5415 |
| callnumber-raw | HF5415.32 .S46 2019e |
| callnumber-search | HF5415.32 .S46 2019e |
| callnumber-sort | HF 45415.32 S46 42019E |
| callnumber-subject | HF - Commerce |
| collection | ZDB-98-IGB |
| contents | Section 1. Introduction and applications of sentiment analysis. Chapter 1. A study and comparison of sentiment analysis techniques using demonetization: case study ; Chapter 2. Approaches to sentiment analysis on product reviews ; Chapter 3. Sentimental analysis in various business applications ; Chapter 4. A Survey on implementation methods and applications of sentiment analysis ; Chapter 5. Analysis of public sentiments about mega online sale using tweets on big billions day sale ; Chapter 6. Application of sentiment analysis in movie reviews -- Section 2. Data mining and machine learning algorithms. Chapter 7. Implementation of data mining algorithm with r ; Chapter 8. Introduction and implementation of machine learning algorithms in R ; Chapter 9. Conceptual approach to predict loan defaults using decision trees ; Chapter 10. Application of data mining techniques in weather forecasting ; Chapter 11. Data mining and machine learning approaches in breast cancer biomedical research ; Chapter 12. Data visualization in R ; Chapter 13. Ideating a recommender system for business growth using profit pattern mining and uncertainty theory -- Section 3. Big data streams and its applications. Chapter 14. Mining data streams ; Chapter 15. Introduction to big data and business analytics ; Chapter 16. Applications of domain-specific predictive analytics applied to big data. |
| ctrlnum | (CaBNVSL)slc20159071 (OCoLC)1048270301 |
| dewey-full | 658.8/342 |
| dewey-hundreds | 600 - Technology (Applied sciences) |
| dewey-ones | 658 - General management |
| dewey-raw | 658.8/342 |
| dewey-search | 658.8/342 |
| dewey-sort | 3658.8 3342 |
| dewey-tens | 650 - Management and auxiliary services |
| discipline | Wirtschaftswissenschaften |
| format | Electronic eBook |
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| id | ZDB-98-IGB-00185750 |
| illustrated | Not Illustrated |
| indexdate | 2024-11-26T14:51:52Z |
| institution | BVB |
| isbn | 9781522550006 |
| language | English |
| oclc_num | 1048270301 |
| open_access_boolean | |
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| psigel | ZDB-98-IGB |
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| publisher | IGI Global, |
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| spelling | Sentiment analysis and knowledge discovery in contemporary business Dharmendra Singh Rajput, Ramjeevan Singh Thakur, and S. Muzamil Basha, editors. Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA) : IGI Global, 2019. 28 PDFs (xxi, 333 pages) text rdacontent electronic isbdmedia online resource rdacarrier Includes bibliographical references and index. Section 1. Introduction and applications of sentiment analysis. Chapter 1. A study and comparison of sentiment analysis techniques using demonetization: case study ; Chapter 2. Approaches to sentiment analysis on product reviews ; Chapter 3. Sentimental analysis in various business applications ; Chapter 4. A Survey on implementation methods and applications of sentiment analysis ; Chapter 5. Analysis of public sentiments about mega online sale using tweets on big billions day sale ; Chapter 6. Application of sentiment analysis in movie reviews -- Section 2. Data mining and machine learning algorithms. Chapter 7. Implementation of data mining algorithm with r ; Chapter 8. Introduction and implementation of machine learning algorithms in R ; Chapter 9. Conceptual approach to predict loan defaults using decision trees ; Chapter 10. Application of data mining techniques in weather forecasting ; Chapter 11. Data mining and machine learning approaches in breast cancer biomedical research ; Chapter 12. Data visualization in R ; Chapter 13. Ideating a recommender system for business growth using profit pattern mining and uncertainty theory -- Section 3. Big data streams and its applications. Chapter 14. Mining data streams ; Chapter 15. Introduction to big data and business analytics ; Chapter 16. Applications of domain-specific predictive analytics applied to big data. Restricted to subscribers or individual electronic text purchasers. "This book explores what drives profitability and more successful customer relationship management. It looks the behavior of any classifier used to classify sentiments in product reviews. It also develops common expert system to classify and visualize the predicted result"-- Provided by publisher. Also available in print. Mode of access: World Wide Web. Description based on title screen (IGI Global, viewed 08/08/2018). Consumer behavior. Consumers Public opinion. Customer relations. Discourse analysis Data processing. Basha, S. Muzamil 1986- editor. Rajput, Dharmendra Singh 1985- editor. Thakur, Ramjeevan Singh 1974- editor. IGI Global, publisher. (Original) (DLC)2017054579 Print version: 1522549994 9781522549994 (DLC) 2017054579 FWS01 ZDB-98-IGB FWS_PDA_IGB http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-5225-4999-4 Volltext |
| spellingShingle | Sentiment analysis and knowledge discovery in contemporary business Section 1. Introduction and applications of sentiment analysis. Chapter 1. A study and comparison of sentiment analysis techniques using demonetization: case study ; Chapter 2. Approaches to sentiment analysis on product reviews ; Chapter 3. Sentimental analysis in various business applications ; Chapter 4. A Survey on implementation methods and applications of sentiment analysis ; Chapter 5. Analysis of public sentiments about mega online sale using tweets on big billions day sale ; Chapter 6. Application of sentiment analysis in movie reviews -- Section 2. Data mining and machine learning algorithms. Chapter 7. Implementation of data mining algorithm with r ; Chapter 8. Introduction and implementation of machine learning algorithms in R ; Chapter 9. Conceptual approach to predict loan defaults using decision trees ; Chapter 10. Application of data mining techniques in weather forecasting ; Chapter 11. Data mining and machine learning approaches in breast cancer biomedical research ; Chapter 12. Data visualization in R ; Chapter 13. Ideating a recommender system for business growth using profit pattern mining and uncertainty theory -- Section 3. Big data streams and its applications. Chapter 14. Mining data streams ; Chapter 15. Introduction to big data and business analytics ; Chapter 16. Applications of domain-specific predictive analytics applied to big data. Consumer behavior. Consumers Public opinion. Customer relations. Discourse analysis Data processing. |
| title | Sentiment analysis and knowledge discovery in contemporary business |
| title_auth | Sentiment analysis and knowledge discovery in contemporary business |
| title_exact_search | Sentiment analysis and knowledge discovery in contemporary business |
| title_full | Sentiment analysis and knowledge discovery in contemporary business Dharmendra Singh Rajput, Ramjeevan Singh Thakur, and S. Muzamil Basha, editors. |
| title_fullStr | Sentiment analysis and knowledge discovery in contemporary business Dharmendra Singh Rajput, Ramjeevan Singh Thakur, and S. Muzamil Basha, editors. |
| title_full_unstemmed | Sentiment analysis and knowledge discovery in contemporary business Dharmendra Singh Rajput, Ramjeevan Singh Thakur, and S. Muzamil Basha, editors. |
| title_short | Sentiment analysis and knowledge discovery in contemporary business |
| title_sort | sentiment analysis and knowledge discovery in contemporary business |
| topic | Consumer behavior. Consumers Public opinion. Customer relations. Discourse analysis Data processing. |
| topic_facet | Consumer behavior. Consumers Public opinion. Customer relations. Discourse analysis Data processing. |
| url | http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-5225-4999-4 |
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