Deep Learning-Based Approaches for Sentiment Analysis -
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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 ... Pilns apraksts
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Aprašymas
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.
Vairāk informācijas
| Izdevējs | Springer Nature Singapore |
|---|---|
| Series | Algorithms for Intelligent Systems |
| Izlaides gads | 2020 |
| Vāka tips | Cietais vāks |
| EAN | 9789811512155 |