Sentimental Analysis and Deep Learning

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  • TypeE-Books
  • LanguageEnglish
  • Total size29.4 MB
  • Uploaded Byfreecoursewb
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  • Last checkedJun. 04th '25
  • Date uploadedJun. 04th '25
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Infohash : 35C4999AE52D85B96F77620935EFC803CCC3842E

Sentimental Analysis and Deep Learning



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English | 1063 pages | Springer; 1st ed. 2022 edition (October 26, 2021) | 9811651566 | PDF | 29.38 Mb

This book gathers selected papers presented at the International Conference on Sentimental Analysis and Deep Learning (ICSADL 2021), jointly organized by Tribhuvan University, Nepal; Prince of Songkla University, Thailand; and Ejesra during June, 18–19, 2021. The volume discusses state-of-the-art research works on incorporating artificial intelligence models like deep learning techniques for intelligent sentiment analysis applications. Emotions and sentiments are emerging as the most important human factors to understand the prominent user-generated semantics and perceptions from the humongous volume of user-generated data. In this scenario, sentiment analysis emerges as a significant breakthrough technology, which can automatically analyze the human emotions in the data-driven applications. Sentiment analysis gains the ability to sense the existing voluminous unstructured data and delivers a real-time analysis to efficiently automate the business processes. Meanwhile, deep learning emerges as the revolutionary paradigm with its extensive data-driven representation learning architectures. This book discusses all theoretical aspects of sentimental analysis, deep learning and related topics.

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