Innovative Forward Fusion Feature Selection Algorithm for Sentiment Analysis Using Supervised Classification

Innovative Forward Fusion Feature Selection Algorithm for Sentiment Analysis Using Supervised Classification

Sentiment analysis is considered one of the significant trends of the recent few years. Due to the high importance and increasing use of social media and electronic services, the need for reviewing and enhancing the provided services has become crucial. Revising the user services is based mainly on...

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Bibliographic Details
Main Authors: Ayman Mohamed Mostafa, Meeaad Aljasir, Meshrif Alruily, Ahmed Alsayat, Mohamed Ezz
Format: Article
Language:English
Published: MDPI AG 2023-02-01
Series:Applied Sciences
Subjects:
sentiment analysis
machine learning
cross-validation
vectorization
feature importance
Online Access:https://www.mdpi.com/2076-3417/13/4/2074

Internet

https://www.mdpi.com/2076-3417/13/4/2074

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