| |
|
|
|
|
|
|
|
|
1. |
Record Nr. |
UNISA996211408903316 |
|
|
Titolo |
The Journal of nutrition |
|
|
|
|
|
Pubbl/distr/stampa |
|
|
Bethesda, MD, : American Institute of Nutrition |
|
Cary, NC, : Oxford University Press |
|
[New York, NY] : , : Elsevier |
|
|
|
|
|
|
|
|
|
ISSN |
|
|
|
|
|
|
Disciplina |
|
|
|
|
|
|
Soggetti |
|
Nutrition |
Diet |
Diet in disease |
Nutritional Physiological Phenomena |
nutrition |
diet |
nutrition physiology |
Alimentation |
Régimes alimentaires |
Periodical |
Internet resource |
Periodicals. |
|
|
|
|
|
|
|
|
Lingua di pubblicazione |
|
|
|
|
|
|
Formato |
Materiale a stampa |
|
|
|
|
|
Livello bibliografico |
Periodico |
|
|
|
|
|
Note generali |
|
|
|
|
|
|
|
|
|
|
|
|
|
2. |
Record Nr. |
UNIORUON00261959 |
|
|
Autore |
OVIEDO, José Miguel |
|
|
Titolo |
1.: De los orígenes a la Emancipación / José Miguel Oviedo |
|
|
|
|
|
Pubbl/distr/stampa |
|
|
Madrid, : Alianza, 1995 ( (rist. 2003) |
|
|
|
|
|
|
|
ISBN |
|
|
|
|
|
|
Descrizione fisica |
|
|
|
|
|
|
Disciplina |
|
|
|
|
|
|
Soggetti |
|
Letteratura ispano-americana - Storia |
|
|
|
|
|
|
Lingua di pubblicazione |
|
|
|
|
|
|
Formato |
Materiale a stampa |
|
|
|
|
|
Livello bibliografico |
Monografia |
|
|
|
|
|
3. |
Record Nr. |
UNINA9910373905203321 |
|
|
Titolo |
Deep Learning-Based Approaches for Sentiment Analysis / / edited by Basant Agarwal, Richi Nayak, Namita Mittal, Srikanta Patnaik |
|
|
|
|
|
|
|
Pubbl/distr/stampa |
|
|
Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2020 |
|
|
|
|
|
|
|
ISBN |
|
|
|
|
|
|
Edizione |
[1st ed. 2020.] |
|
|
|
|
|
Descrizione fisica |
|
1 online resource (XII, 319 p.) |
|
|
|
|
|
|
Collana |
|
Algorithms for Intelligent Systems, , 2524-7573 |
|
|
|
|
|
|
Disciplina |
|
|
|
|
|
|
Soggetti |
|
Signal processing |
Data mining |
Image processing - Digital techniques |
Computer vision |
Natural language processing (Computer science) |
Computational intelligence |
Neural networks (Computer science) |
Signal, Speech and Image 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 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Lingua di pubblicazione |
|
|
|
|
|
|
Formato |
Materiale a stampa |
|
|
|
|
|
Livello bibliografico |
Monografia |
|
|
|
|
|
Nota di bibliografia |
|
Includes bibliographical references. |
|
|
|
|
|
|
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. |
|
|
|
|
|
|
|
|
Sommario/riassunto |
|
This book covers deep-learning-based approaches for sentiment analysis, a relatively new, but fast-growing research area, which has significantly changed in the past few years. The book presents a collection of state-of-the-art approaches, focusing on the best-performing, cutting-edge solutions for the most common and difficult challenges faced in sentiment analysis research. Providing detailed explanations of the methodologies, the book is a valuable resource for researchers as well as newcomers to the field. . |
|
|
|
|
|
|
|
| |