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1. |
Record Nr. |
UNIORUON00261959 |
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Autore |
OVIEDO, José Miguel |
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Titolo |
1.: De los orígenes a la Emancipación / José Miguel Oviedo |
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Pubbl/distr/stampa |
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Madrid, : Alianza, 1995 ( (rist. 2003) |
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ISBN |
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Descrizione fisica |
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Disciplina |
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Soggetti |
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Letteratura ispano-americana - Storia |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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2. |
Record Nr. |
UNINA9910373905203321 |
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Titolo |
Deep Learning-Based Approaches for Sentiment Analysis / / edited by Basant Agarwal, Richi Nayak, Namita Mittal, Srikanta Patnaik |
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Pubbl/distr/stampa |
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Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2020 |
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ISBN |
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Edizione |
[1st ed. 2020.] |
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Descrizione fisica |
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1 online resource (XII, 319 p.) |
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Collana |
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Algorithms for Intelligent Systems, , 2524-7573 |
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Disciplina |
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Soggetti |
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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 |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di bibliografia |
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Includes bibliographical references. |
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Nota di contenuto |
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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. |
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Sommario/riassunto |
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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. . |
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