Neural networks for natural language processing:
"This book examines natural language processing models and algorithms using traditional symbolic and more recent statistical approaches"--
Gespeichert in:
| Weitere Verfasser: | , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA) :
IGI Global,
[2020]
|
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Zusammenfassung: | "This book examines natural language processing models and algorithms using traditional symbolic and more recent statistical approaches"-- |
| Beschreibung: | 21 PDFs (227 pages) Also available in print. |
| Format: | Mode of access: World Wide Web. |
| Bibliographie: | Includes bibliographical references and index. |
| ISBN: | 9781799811619 |
| Zugangseinschränkungen: | Restricted to subscribers or individual electronic text purchasers. |
Internformat
MARC
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| 082 | 7 | |a 006.3/2 |2 23 | |
| 245 | 0 | 0 | |a Neural networks for natural language processing |c Sumathi S, Janani M, editors. |
| 264 | 1 | |a Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA) : |b IGI Global, |c [2020] | |
| 300 | |a 21 PDFs (227 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 Chapter 1. Deep learning network: deep neural networks -- Chapter 2. A journey from neural networks to deep networks: comprehensive understanding for deep learning -- Chapter 3. Current trends in deep learning frameworks with opportunities and future prospectus -- Chapter 4. Emotion recognition from speech using perceptual filter and neural network -- Chapter 5. Ontology creation -- Chapter 6. Semantic similarity using register linear question classification (RLQC) for question classification -- Chapter 7. Knowledge graph generation -- Chapter 8. Develop a neural model to score bigram of words using bag-of-words model for sentiment analysis -- Chapter 9. Deep learning approach for extracting catch phrases from legal documents -- Chapter 10. Enhanced sentiment classification using recurrent neural networks -- Chapter 11. Natural language processing-based information extraction and abstraction for lease documents -- Chapter 12. Neural network applications in hate speech detection. | |
| 506 | |a Restricted to subscribers or individual electronic text purchasers. | ||
| 520 | 3 | |a "This book examines natural language processing models and algorithms using traditional symbolic and more recent statistical approaches"-- |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 12/14/2019). | ||
| 650 | 0 | |a Natural language processing (Computer science) | |
| 650 | 0 | |a Neural networks (Computer science) | |
| 650 | 7 | |a Natural language processing (Computer science) |2 fast | |
| 650 | 7 | |a Neural networks (Computer science) |2 fast | |
| 700 | 1 | |a M., Janani |d 1988- |e editor. | |
| 700 | 1 | |a S., Sumathi |d 1979- |e editor. | |
| 710 | 2 | |a IGI Global, |e publisher. | |
| 776 | 0 | |c (Original) |w (DLC)2019025554 | |
| 776 | 0 | 8 | |i Print version: |z 179981159X |z 9781799811596 |w (DLC) 2019025554 |
| 856 | 4 | 0 | |l FWS01 |p ZDB-98-IGB |q FWS_PDA_IGB |u http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-7998-1159-6 |3 Volltext |
| 912 | |a ZDB-98-IGB | ||
| 049 | |a DE-863 | ||
Datensatz im Suchindex
| DE-BY-FWS_katkey | ZDB-98-IGB-00231547 |
|---|---|
| _version_ | 1816797082446462976 |
| adam_text | |
| any_adam_object | |
| author2 | M., Janani 1988- S., Sumathi 1979- |
| author2_role | edt edt |
| author2_variant | j m jm s s ss |
| author_facet | M., Janani 1988- S., Sumathi 1979- |
| building | Verbundindex |
| bvnumber | localFWS |
| callnumber-first | Q - Science |
| callnumber-label | QA76 |
| callnumber-raw | QA76.9.N38 N4785 2020e |
| callnumber-search | QA76.9.N38 N4785 2020e |
| callnumber-sort | QA 276.9 N38 N4785 42020E |
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| collection | ZDB-98-IGB |
| contents | Chapter 1. Deep learning network: deep neural networks -- Chapter 2. A journey from neural networks to deep networks: comprehensive understanding for deep learning -- Chapter 3. Current trends in deep learning frameworks with opportunities and future prospectus -- Chapter 4. Emotion recognition from speech using perceptual filter and neural network -- Chapter 5. Ontology creation -- Chapter 6. Semantic similarity using register linear question classification (RLQC) for question classification -- Chapter 7. Knowledge graph generation -- Chapter 8. Develop a neural model to score bigram of words using bag-of-words model for sentiment analysis -- Chapter 9. Deep learning approach for extracting catch phrases from legal documents -- Chapter 10. Enhanced sentiment classification using recurrent neural networks -- Chapter 11. Natural language processing-based information extraction and abstraction for lease documents -- Chapter 12. Neural network applications in hate speech detection. |
| ctrlnum | (CaBNVSL)slc00000198 (OCoLC)1131099399 |
| dewey-full | 006.3/2 |
| dewey-hundreds | 000 - Computer science, information, general works |
| dewey-ones | 006 - Special computer methods |
| dewey-raw | 006.3/2 |
| dewey-search | 006.3/2 |
| dewey-sort | 16.3 12 |
| dewey-tens | 000 - Computer science, information, general works |
| discipline | Informatik |
| format | Electronic eBook |
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| id | ZDB-98-IGB-00231547 |
| illustrated | Not Illustrated |
| indexdate | 2024-11-26T14:51:55Z |
| institution | BVB |
| isbn | 9781799811619 |
| language | English |
| oclc_num | 1131099399 |
| open_access_boolean | |
| owner | DE-863 DE-BY-FWS |
| owner_facet | DE-863 DE-BY-FWS |
| physical | 21 PDFs (227 pages) Also available in print. |
| psigel | ZDB-98-IGB |
| publishDate | 2020 |
| publishDateSearch | 2020 |
| publishDateSort | 2020 |
| publisher | IGI Global, |
| record_format | marc |
| spelling | Neural networks for natural language processing Sumathi S, Janani M, editors. Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA) : IGI Global, [2020] 21 PDFs (227 pages) text rdacontent electronic isbdmedia online resource rdacarrier Includes bibliographical references and index. Chapter 1. Deep learning network: deep neural networks -- Chapter 2. A journey from neural networks to deep networks: comprehensive understanding for deep learning -- Chapter 3. Current trends in deep learning frameworks with opportunities and future prospectus -- Chapter 4. Emotion recognition from speech using perceptual filter and neural network -- Chapter 5. Ontology creation -- Chapter 6. Semantic similarity using register linear question classification (RLQC) for question classification -- Chapter 7. Knowledge graph generation -- Chapter 8. Develop a neural model to score bigram of words using bag-of-words model for sentiment analysis -- Chapter 9. Deep learning approach for extracting catch phrases from legal documents -- Chapter 10. Enhanced sentiment classification using recurrent neural networks -- Chapter 11. Natural language processing-based information extraction and abstraction for lease documents -- Chapter 12. Neural network applications in hate speech detection. Restricted to subscribers or individual electronic text purchasers. "This book examines natural language processing models and algorithms using traditional symbolic and more recent statistical approaches"-- Provided by publisher. Also available in print. Mode of access: World Wide Web. Description based on title screen (IGI Global, viewed 12/14/2019). Natural language processing (Computer science) Neural networks (Computer science) Natural language processing (Computer science) fast Neural networks (Computer science) fast M., Janani 1988- editor. S., Sumathi 1979- editor. IGI Global, publisher. (Original) (DLC)2019025554 Print version: 179981159X 9781799811596 (DLC) 2019025554 FWS01 ZDB-98-IGB FWS_PDA_IGB http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-7998-1159-6 Volltext |
| spellingShingle | Neural networks for natural language processing Chapter 1. Deep learning network: deep neural networks -- Chapter 2. A journey from neural networks to deep networks: comprehensive understanding for deep learning -- Chapter 3. Current trends in deep learning frameworks with opportunities and future prospectus -- Chapter 4. Emotion recognition from speech using perceptual filter and neural network -- Chapter 5. Ontology creation -- Chapter 6. Semantic similarity using register linear question classification (RLQC) for question classification -- Chapter 7. Knowledge graph generation -- Chapter 8. Develop a neural model to score bigram of words using bag-of-words model for sentiment analysis -- Chapter 9. Deep learning approach for extracting catch phrases from legal documents -- Chapter 10. Enhanced sentiment classification using recurrent neural networks -- Chapter 11. Natural language processing-based information extraction and abstraction for lease documents -- Chapter 12. Neural network applications in hate speech detection. Natural language processing (Computer science) Neural networks (Computer science) Natural language processing (Computer science) fast Neural networks (Computer science) fast |
| title | Neural networks for natural language processing |
| title_auth | Neural networks for natural language processing |
| title_exact_search | Neural networks for natural language processing |
| title_full | Neural networks for natural language processing Sumathi S, Janani M, editors. |
| title_fullStr | Neural networks for natural language processing Sumathi S, Janani M, editors. |
| title_full_unstemmed | Neural networks for natural language processing Sumathi S, Janani M, editors. |
| title_short | Neural networks for natural language processing |
| title_sort | neural networks for natural language processing |
| topic | Natural language processing (Computer science) Neural networks (Computer science) Natural language processing (Computer science) fast Neural networks (Computer science) fast |
| topic_facet | Natural language processing (Computer science) Neural networks (Computer science) |
| url | http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-7998-1159-6 |
| work_keys_str_mv | AT mjanani neuralnetworksfornaturallanguageprocessing AT ssumathi neuralnetworksfornaturallanguageprocessing AT igiglobal neuralnetworksfornaturallanguageprocessing |