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, PA
IGI Global
[2020]
|
| Schlagworte: | |
| Online-Zugang: | DE-1050 DE-706 DE-83 DE-898 Volltext |
| Zusammenfassung: | "This book examines natural language processing models and algorithms using traditional symbolic and more recent statistical approaches"-- |
| Beschreibung: | 1 Online-Ressource |
| ISBN: | 9781799811619 |
| DOI: | 10.4018/978-1-7998-1159-6 |
Internformat
MARC
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| 245 | 1 | 0 | |a Neural networks for natural language processing |c Sumathi S., Janani M. |
| 264 | 1 | |a Hershey, PA |b IGI Global |c [2020] | |
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| 505 | 8 | |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 | |
| 520 | |a "This book examines natural language processing models and algorithms using traditional symbolic and more recent statistical approaches"-- | ||
| 650 | 4 | |a Natural language processing (Computer science) | |
| 650 | 4 | |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 S., Sumathi |4 edt | |
| 700 | 1 | |a M., Janani |4 edt | |
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Datensatz im Suchindex
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| author2 | S., Sumathi M., Janani |
| author2_role | edt edt |
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| author_facet | S., Sumathi M., Janani |
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| 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 | (OCoLC)1140161736 (DE-599)BVBBV046360011 |
| doi_str_mv | 10.4018/978-1-7998-1159-6 |
| format | Electronic eBook |
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| id | DE-604.BV046360011 |
| illustrated | Not Illustrated |
| indexdate | 2024-07-20T06:01:25Z |
| institution | BVB |
| isbn | 9781799811619 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-031736328 |
| oclc_num | 1140161736 |
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| owner | DE-1050 DE-706 DE-83 DE-898 DE-BY-UBR |
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| physical | 1 Online-Ressource |
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| publishDate | 2020 |
| publishDateSearch | 2020 |
| publishDateSort | 2020 |
| publisher | IGI Global |
| record_format | marc |
| spelling | Neural networks for natural language processing Sumathi S., Janani M. Hershey, PA IGI Global [2020] 1 Online-Ressource txt rdacontent c rdamedia cr rdacarrier 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 "This book examines natural language processing models and algorithms using traditional symbolic and more recent statistical approaches"-- Natural language processing (Computer science) Neural networks (Computer science) Natural language processing (Computer science) fast Neural networks (Computer science) fast S., Sumathi edt M., Janani edt Erscheint auch als Druck-Ausgabe, hardcover 978-1-7998-1159-6 Erscheint auch als Druck-Ausgabe, softcover 978-1-7998-1160-2 https://doi.org/10.4018/978-1-7998-1159-6 Verlag URL des Erstveröffentlichers 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. |
| title_fullStr | Neural networks for natural language processing Sumathi S., Janani M. |
| title_full_unstemmed | Neural networks for natural language processing Sumathi S., Janani M. |
| 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 | https://doi.org/10.4018/978-1-7998-1159-6 |
| work_keys_str_mv | AT ssumathi neuralnetworksfornaturallanguageprocessing AT mjanani neuralnetworksfornaturallanguageprocessing |