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Deep Learning-Based Approaches for Sentiment Analysis / / edited by Basant Agarwal, Richi Nayak, Namita Mittal, Srikanta Patnaik
| Deep Learning-Based Approaches for Sentiment Analysis / / edited by Basant Agarwal, Richi Nayak, Namita Mittal, Srikanta Patnaik |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Singapore : , : Springer Singapore : , : Imprint : Springer, , 2020 |
| Descrizione fisica | 1 online resource (XII, 319 p.) |
| Disciplina | 006.31 |
| Collana | Algorithms for Intelligent Systems |
| Soggetto topico |
Signal processing
Image processing Speech processing systems Data mining Optical data processing Natural language processing (Computer science) Computational intelligence Neural networks (Computer science) Signal, Image and Speech Processing Data Mining and Knowledge Discovery Computer Imaging, Vision, Pattern Recognition and Graphics Natural Language Processing (NLP) Computational Intelligence Mathematical Models of Cognitive Processes and Neural Networks |
| ISBN | 981-15-1216-7 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Chapter 1. Application of Deep Learning Approaches for Sentiment Analysis: A Survey -- Chapter 2. Recent Trends and Advances in Deep Learning based Sentiment Analysis -- Chapter 3. - Deep Learning Adaptation with Word Embeddings for Sentiment Analysis on Online Course Reviews -- Chapter 4. Toxic Comment Detection in Online Discussions -- Chapter 5. Aspect Based Sentiment Analysis of Financial Headlines and Microblogs -- Chapter 6. Deep Learning based frameworks for Aspect Based Sentiment Analysis -- Chapter 7. Transfer Learning for Detecting Hateful Sentiments in Code Switched Language -- Chapter 8. Multilingual Sentiment Analysis -- Chapter 9. Sarcasm Detection using deep learning -- Chapter 10. Deep Learning Approaches for Speech Emotion Recognition -- Chapter 11. Bidirectional Long Short Term Memory Based Spatio-Temporal In Community Question Answering -- Chapter 12. Comparing Deep Neural Networks to Traditional Models for Sentiment Analysis in Turkish Language. |
| Record Nr. | UNINA-9910373905203321 |
| Singapore : , : Springer Singapore : , : Imprint : Springer, , 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Knowledge Discovery from XML Documents [[electronic resource] ] : First International Workshop, KDXD 2006, Singapore, April 9, 2006, Proceedings / / edited by Richi Nayak, Mohammed J. Zaki
| Knowledge Discovery from XML Documents [[electronic resource] ] : First International Workshop, KDXD 2006, Singapore, April 9, 2006, Proceedings / / edited by Richi Nayak, Mohammed J. Zaki |
| Edizione | [1st ed. 2006.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2006 |
| Descrizione fisica | 1 online resource (VIII, 105 p.) |
| Disciplina | 005.74 |
| Collana | Information Systems and Applications, incl. Internet/Web, and HCI |
| Soggetto topico |
Data structures (Computer science)
Database management Artificial intelligence Information storage and retrieval Mathematical statistics Computers Data Structures and Information Theory Database Management Artificial Intelligence Information Storage and Retrieval Probability and Statistics in Computer Science Computation by Abstract Devices |
| ISBN | 3-540-33181-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Keynote Papers -- Opportunities for XML Data Mining in Modern Applications, or XML Data Mining: Where Is the Ore? -- Capturing Semantics in XML Documents -- XML Data Mining Methods -- Mining Changes from Versions of Dynamic XML Documents -- XML Document Clustering by Independent Component Analysis -- Discovering Multi Terms and Co-hyponymy from XHTML Documents with XTREEM -- Classification of XSLT-Generated Web Documents with Support Vector Machines -- Machine Learning Models: Combining Evidence of Similarity for XML Schema Matching -- XML Data Reasoning and Querying Methods -- Information Retrieval from Distributed Semistructured Documents Using Metadata Interface -- Using Ontologies for Semantic Query Optimization of XML Database -- The Expressive Language ALCNHR+K(D) for Knowledge Reasoning -- A New Scheme to Fingerprint XML Data -- A Novel Labeling Scheme for Secure Broadcasting of XML Data. |
| Record Nr. | UNISA-996465820403316 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2006 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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Knowledge discovery from XML documents : first international workshop, KDXD 2006, Singapore, April 9, 2006 : proceedings / / Richi Nayak, Mohammed J. Zaki (eds.)
| Knowledge discovery from XML documents : first international workshop, KDXD 2006, Singapore, April 9, 2006 : proceedings / / Richi Nayak, Mohammed J. Zaki (eds.) |
| Edizione | [1st ed. 2006.] |
| Pubbl/distr/stampa | Berlin ; ; New York, : Springer, c2006 |
| Descrizione fisica | 1 online resource (VIII, 105 p.) |
| Disciplina | 005.74 |
| Altri autori (Persone) |
NayakRichi
ZakiMohammed J. <1971-> |
| Collana |
Lecture notes in computer science
LNCS sublibrary. SL 3, Information systems and applications, incl. Internet/Web, and HCI |
| Soggetto topico |
XML (Document markup language)
Data mining |
| ISBN | 3-540-33181-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Keynote Papers -- Opportunities for XML Data Mining in Modern Applications, or XML Data Mining: Where Is the Ore? -- Capturing Semantics in XML Documents -- XML Data Mining Methods -- Mining Changes from Versions of Dynamic XML Documents -- XML Document Clustering by Independent Component Analysis -- Discovering Multi Terms and Co-hyponymy from XHTML Documents with XTREEM -- Classification of XSLT-Generated Web Documents with Support Vector Machines -- Machine Learning Models: Combining Evidence of Similarity for XML Schema Matching -- XML Data Reasoning and Querying Methods -- Information Retrieval from Distributed Semistructured Documents Using Metadata Interface -- Using Ontologies for Semantic Query Optimization of XML Database -- The Expressive Language ALCNHR+K(D) for Knowledge Reasoning -- A New Scheme to Fingerprint XML Data -- A Novel Labeling Scheme for Secure Broadcasting of XML Data. |
| Altri titoli varianti | KDXD 2006 |
| Record Nr. | UNINA-9910483405003321 |
| Berlin ; ; New York, : Springer, c2006 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Robotics, Control and Computer Vision : Select Proceedings of ICRCCV 2022 / / edited by Hariharan Muthusamy, János Botzheim, Richi Nayak
| Robotics, Control and Computer Vision : Select Proceedings of ICRCCV 2022 / / edited by Hariharan Muthusamy, János Botzheim, Richi Nayak |
| Autore | Muthusamy Hariharan |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (600 pages) |
| Disciplina | 629.892 |
| Altri autori (Persone) |
BotzheimJános
NayakRichi |
| Collana | Lecture Notes in Electrical Engineering |
| Soggetto topico |
Automatic control
Robotics Automation Computer vision Application software Control, Robotics, Automation Computer Vision Computer and Information Systems Applications |
| Soggetto non controllato |
Computer Graphics
Automation Computers Technology & Engineering |
| ISBN | 981-9902-36-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Chapter 1: Challenges and Opportunity for Salient Object Detection in COVID-19 Era: A Study -- Chapter 2: Multi-agent Task Assignment Using Swap-Based Particle Swarm Optimization for Surveillance and Disaster Management -- Chapter 3: Facemask Detection and Maintaining Safe Distance Using AI and ML to Prevent COVID-19—A Study. |
| Record Nr. | UNINA-9910728392203321 |
Muthusamy Hariharan
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| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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