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Scalable vortex search-tuned intelligent adaptive boosting for sentiment analysis of social media data using natural language processing

Sentiment analysis serves an important role in comprehending public perception, behaviour, and emotional reactions on social media platforms. With the growing influence of online content in shaping societal attitudes, analysing sentiments in real-time has become vital for sectors like healthcare, po...

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Principais autores: Feng Ye, Zihan Zhao
Format: Artigo
Sprog:Inglês
Udgivet: Elsevier 2025-12-01
Serier:Systems and Soft Computing
Fag:
Sentiment analysis
Social media analytics
Natural language processing (NLP)
Scalable vortex search-tuned intelligent adaptive boosting (SVS-IAdaBoost)
Text processing
Online adgang:http://www.sciencedirect.com/science/article/pii/S2772941925002224
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