Sentiment Analysis Technique and Neutrosophic Set Theory for Mining and Ranking Big Data From Online Reviews

Sentiment Analysis Technique and Neutrosophic Set Theory for Mining and Ranking Big Data From Online Reviews

Recently, a huge amount of online consumer reviews (OCRs) is being generated through social media, web contents, and microblogs. This scale of big data cannot be handled by traditional methods. Sentiment analysis (SA) or opinion mining is emerging as a powerful and efficient tool in big data analyti...

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Bibliographic Details
Main Authors: Ibrahim Awajan, Mumtazimah Mohamad, Ashraf Al-Quran
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Sentiment analysis
VADER
online reviews
neutrosophic set
ranking product
simplified neutrosophic number
Online Access:https://ieeexplore.ieee.org/document/9382293/

Internet

https://ieeexplore.ieee.org/document/9382293/

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