Advances in Sentiment Analysis
This cutting-edge book brings together experts in the field to provide a multidimensional perspective on sentiment analysis, covering both foundational and advanced methodologies. Readers will gain insights into the latest natural language processing and machine learning techniques that power sentim...
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| Format: | Online |
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| Language: | English |
| Published: |
IntechOpen
2024
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| Subjects: | |
| Online Access: | ONIX_20240307_9780850140613_326 |
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| _version_ | 1869514672854532096 |
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| collection | Directory of Open Access Books |
| description | This cutting-edge book brings together experts in the field to provide a multidimensional perspective on sentiment analysis, covering both foundational and advanced methodologies. Readers will gain insights into the latest natural language processing and machine learning techniques that power sentiment analysis, enabling the extraction of nuanced emotions from text. Key Features: •State-of-the-Art Techniques: Explore the most recent advancements in sentiment analysis, from deep learning approaches to sentiment lexicons and beyond. •Real-World Applications: Dive into a wide range of applications, including social media monitoring, customer feedback analysis, and sentiment-driven decision-making. •Cross-Disciplinary Insights: Understand how sentiment analysis influences and is influenced by fields such as marketing, psychology, and finance. •Ethical and Privacy Considerations: Delve into the ethical challenges and privacy concerns inherent to sentiment analysis, with discussions on responsible AI usage. •Future Directions: Get a glimpse into the future of sentiment analysis, with discussions on emerging trends and unresolved challenges. This book is an essential resource for researchers, practitioners, and students in fields like natural language processing, machine learning, and data science. Whether you’re interested in understanding customer sentiment, monitoring social media trends, or advancing the state of the art, this book will equip you with the knowledge and tools you need to navigate the complex landscape of sentiment analysis. |
| format | Online |
| id | doab-20.500.12854ir-135417 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2024 |
| publishDateRange | 2024 |
| publishDateSort | 2024 |
| publisher | IntechOpen |
| publisherStr | IntechOpen |
| record_format | ojs |
| spelling | doab-20.500.12854ir-1354172024-04-14T10:28:24Z Advances in Sentiment Analysis Li, Jinfeng thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence::UYQL Natural language and machine translation This cutting-edge book brings together experts in the field to provide a multidimensional perspective on sentiment analysis, covering both foundational and advanced methodologies. Readers will gain insights into the latest natural language processing and machine learning techniques that power sentiment analysis, enabling the extraction of nuanced emotions from text. Key Features: •State-of-the-Art Techniques: Explore the most recent advancements in sentiment analysis, from deep learning approaches to sentiment lexicons and beyond. •Real-World Applications: Dive into a wide range of applications, including social media monitoring, customer feedback analysis, and sentiment-driven decision-making. •Cross-Disciplinary Insights: Understand how sentiment analysis influences and is influenced by fields such as marketing, psychology, and finance. •Ethical and Privacy Considerations: Delve into the ethical challenges and privacy concerns inherent to sentiment analysis, with discussions on responsible AI usage. •Future Directions: Get a glimpse into the future of sentiment analysis, with discussions on emerging trends and unresolved challenges. This book is an essential resource for researchers, practitioners, and students in fields like natural language processing, machine learning, and data science. Whether you’re interested in understanding customer sentiment, monitoring social media trends, or advancing the state of the art, this book will equip you with the knowledge and tools you need to navigate the complex landscape of sentiment analysis. 2024-03-07T17:20:55Z 2024-03-07T17:20:55Z 2024 book ONIX_20240307_9780850140613_326 2633-1403 9780850140613 9780850140606 9780850140620 https://directory.doabooks.org/handle/20.500.12854/135417 eng Artificial Intelligence image/jpeg n/a https://www.intechopen.com/books/13148 https://mts.intechopen.com/storage/books/13148/authors_book/authors_book.pdf IntechOpen IntechOpen 10.5772/intechopen.111293 10.5772/intechopen.111293 78a36484-2c0c-47cb-ad67-2b9f5cd4a8f6 9780850140613 9780850140606 9780850140620 IntechOpen 22 134 open access |
| spellingShingle | thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence::UYQL Natural language and machine translation Advances in Sentiment Analysis |
| title | Advances in Sentiment Analysis |
| title_full | Advances in Sentiment Analysis |
| title_fullStr | Advances in Sentiment Analysis |
| title_full_unstemmed | Advances in Sentiment Analysis |
| title_short | Advances in Sentiment Analysis |
| title_sort | advances in sentiment analysis |
| topic | thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence::UYQL Natural language and machine translation |
| topic_facet | thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence::UYQL Natural language and machine translation |
| url | ONIX_20240307_9780850140613_326 |