Sentiment Analysis has become increasingly important in recent years
for nearly all online applications. Sentiment Analysis depends heavily
on Artificial Intelligence (AI) technology wherein computational
intelligence approaches aid in deriving the opinions/emotions of human
beings. With the vast increase in Big Data, computational intelligence
approaches have become a necessity for Natural Language Processing and
Sentiment Analysis in a wide range of decision-making application
areas. The applications of Sentiment Analysis are enormous, ranging
from business to biomedical and clinical applications. However, the
combination of AI methods and Sentiment Analysis is one of the rarest
commodities in the literature. The literatures either gives more
importance to the application alone or to the AI/CI methodology.
_Computational Intelligence for Sentiment Analysis in Natural Language
Processing Applications_ provides a solution to this problem through
detailed technical coverage of AI-based Sentiment Analysis methods for
various applications. The authors provide readers with an in-depth
look at the challenges and solutions associated with the different
types of Sentiment Analysis, including case studies and real-world
scenarios from across the globe. Development of scientific and
enterprise applications are covered, which will aid computer
scientists in building practical/real-world AI-based Sentiment
Analysis systems.
* Includes basic concepts, technical explanations, and case studies
for in-depth explanation of the Sentiment Analysis
* Aids computer scientists in developing practical/real-world
AI-based Sentiment Analysis systems
* Provides readers with real-world development applications of
AI-based Sentiment Analysis, including transfer learning for opinion
mining from pandemic medical data, sarcasm detection using neural
networks in human-computer interaction, and emotion detection using
the random-forest algorithm
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Produktdetaljer
ISBN
9780443220104
Publisert
2024
Utgave
1. utgave
Utgiver
Vendor
Morgan Kaufmann
Språk
Product language
Engelsk
Format
Product format
Digital bok
Forfatter