Deep learning in natural language processing / Li Deng, Yang Liu editors
| Deep learning in natural language processing / Li Deng, Yang Liu editors |
| Pubbl/distr/stampa | Singapore, : Springer, 2018 |
| Descrizione fisica | xvii, 329 p. : ill. ; 24 cm |
| Soggetto topico |
68-XX - Computer science [MSC 2020]
68T05 - Learning and adaptive systems in artificial intelligence [MSC 2020] 68Txx - Artificial intelligence [MSC 2020] |
| Soggetto non controllato |
Attention Models
Deep Learning Dialogue Systems Image Captioning Knowledge Graph Machine Translation Natural language Neural Embedding Parsing Question Answering Recurrent Neural Networks Sentiment analysis Sequence-to-Sequence Social computing Speech Language |
| ISBN | 978-98-11-33848-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN00250746 |
| Singapore, : Springer, 2018 | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Fundamentals of Supervised Machine Learning : With Applications in Python, R, and Stata / Giovanni Cerulli
| Fundamentals of Supervised Machine Learning : With Applications in Python, R, and Stata / Giovanni Cerulli |
| Autore | Cerulli, Giovanni |
| Pubbl/distr/stampa | Cham, : Springer, 2023 |
| Descrizione fisica | xxiv, 391 p. : ill. ; 24 cm |
| Soggetto topico |
62-XX - Statistics [MSC 2020]
68-XX - Computer science [MSC 2020] 68T05 - Learning and adaptive systems in artificial intelligence [MSC 2020] 68T07 - Artificial neural networks and deep learning [MSC 2020] |
| Soggetto non controllato |
Artificial Neural Networks
Classification Deep Learning Discriminant Analysis Machine Learnig Applications in Medicine and Epidemiology Machine Learning Machine Learning Applications in the Social Sciences Model selection Nearest Neighbors Nonparametric Fitting Ontology of Machine Learning Python R software Regularization Sentiment analysis Statistical learning Statistics Supervised machine learning Support Vector Machines Trees |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN00278813 |
Cerulli, Giovanni
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| Cham, : Springer, 2023 | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Nonlinear analysis and computational techniques : ICNACT 2024, Bhopal, India, August 8–10 / Hemanta Kalita, Tomás Pérez Becerra, Kiran Kumar Behera editors
| Nonlinear analysis and computational techniques : ICNACT 2024, Bhopal, India, August 8–10 / Hemanta Kalita, Tomás Pérez Becerra, Kiran Kumar Behera editors |
| Autore | International conference on nonlinear analysis and computational techniques : 2024 |
| Pubbl/distr/stampa | Singapore, : Springer, 2025 |
| Descrizione fisica | 1 testo elettronico (X, 205 p. : ill.) |
| Soggetto topico |
00B25 - Proceedings of conferences of miscellaneous specific interest [MSC 2020]
26A33 - Fractional derivatives and integrals [MSC 2020] 26A51 - Convexity of real functions in one variable, generalizations [MSC 2020] 26D10 - Inequalities involving derivatives and differential and integral operators [MSC 2020] 40A05 - Convergence and divergence of series and sequences [MSC 2020] 40A35 - Ideal and statistical convergence [MSC 2020] 47A08 - Operator matrices [MSC 2020] 47A10 - Spectrum, resolvent [MSC 2020] 47B02 - Operators on Hilbert spaces (general) [MSC 2020] |
| Soggetto non controllato |
Boundary Value Problems
Cayley transform of operators Controlled G-metric spaces Dynamical systems Fractional Differential Equations Henstock-Kurzweil integral Hölder space Integral Transforms Klein-Gordon Equation Linear wave-packing Non-absolute integration Orlicz sequence spaces Rao and Ren’s norm Sentiment analysis Swartz distributions |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN00310109 |
| International conference on nonlinear analysis and computational techniques : 2024 | ||
| Singapore, : Springer, 2025 | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Social Media e Sentiment Analysis : l’evoluzione dei fenomeni sociali attraverso la Rete / Andrea Ceron, Luigi Curini, Stefano M. Iacus
| Social Media e Sentiment Analysis : l’evoluzione dei fenomeni sociali attraverso la Rete / Andrea Ceron, Luigi Curini, Stefano M. Iacus |
| Autore | Ceron, Andrea |
| Pubbl/distr/stampa | Milano, : Springer, 2014 |
| Descrizione fisica | XVIII, 130 p. : ill. ; 24 cm |
| Altri autori (Persone) |
Curini, Luigi
Iacus, Stefano M. |
| Soggetto topico |
91Cxx - Social and behavioral sciences: general topics [MSC 2020]
97Uxx - Educational material and media and educational technology in mathematics education [MSC 2020] |
| Soggetto non controllato |
Big Data
Data Mining Previsioni Sentiment analysis Social media |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | ita |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0102498 |
Ceron, Andrea
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| Milano, : Springer, 2014 | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Social Media e Sentiment Analysis : l’evoluzione dei fenomeni sociali attraverso la Rete / Andrea Ceron, Luigi Curini, Stefano M. Iacus
| Social Media e Sentiment Analysis : l’evoluzione dei fenomeni sociali attraverso la Rete / Andrea Ceron, Luigi Curini, Stefano M. Iacus |
| Autore | Ceron, Andrea |
| Pubbl/distr/stampa | Milano, : Springer, 2014 |
| Descrizione fisica | XVIII, 130 p. : ill. ; 24 cm |
| Altri autori (Persone) |
Curini, Luigi
Iacus, Stefano M. |
| Soggetto topico |
91Cxx - Social and behavioral sciences: general topics [MSC 2020]
97Uxx - Educational material and media and educational technology in mathematics education [MSC 2020] |
| Soggetto non controllato |
Big Data
Data Mining Previsioni Sentiment analysis Social Media |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | ita |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN00102498 |
Ceron, Andrea
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| Milano, : Springer, 2014 | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Text Analytics : Advances and Challenges / Domenica Fioredistella Iezzi, Damon Mayaffre, Michelangelo Misuraca editors
| Text Analytics : Advances and Challenges / Domenica Fioredistella Iezzi, Damon Mayaffre, Michelangelo Misuraca editors |
| Pubbl/distr/stampa | Cham, : Springer, 2020 |
| Descrizione fisica | xi, 302 p. : ill. ; 24 cm |
| Soggetto topico | 97K80 - Applied statistics (educational aspects) [MSC 2020] |
| Soggetto non controllato |
Big Data
Chronological corpora Computational linguistics Textual statistics Corpus and quantitative linguistics Data analysis Information extraction Lexical resources Network text analytics Opinion mining Sentiment analysis Social Media Analysis Statistical analysis of textual data Text Mining Text analytics Text mining in the social sciences Textual data in psychology Web mining |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0249901 |
| Cham, : Springer, 2020 | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Text Analytics : Advances and Challenges / Domenica Fioredistella Iezzi, Damon Mayaffre, Michelangelo Misuraca editors
| Text Analytics : Advances and Challenges / Domenica Fioredistella Iezzi, Damon Mayaffre, Michelangelo Misuraca editors |
| Pubbl/distr/stampa | Cham, : Springer, 2020 |
| Descrizione fisica | xi, 302 p. : ill. ; 24 cm |
| Soggetto topico | 97K80 - Applied statistics (educational aspects) [MSC 2020] |
| Soggetto non controllato |
Big Data
Chronological Corpora Computational Linguistics , Textual Statistics Corpus and quantitative linguistics Data Analysis Information extraction Lexical resources Network text analytics Opinion mining Sentiment analysis Social Media Analysis Statistical analysis of textual data Text Mining Text analytics Text mining in the social sciences Textual data in psychology Web mining |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN00249901 |
| Cham, : Springer, 2020 | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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