The hybrid feature selection technique using term frequency-inverse document frequency and support vector machine-recursive feature elimination for sentiment classification

The hybrid feature selection technique using term frequency-inverse document frequency and support vector machine-recursive feature elimination for sentiment classification

Sentiment classification is increasingly used to automatically identify a positive or negative sentiment in the opinionated text document, for instance, customer feedback or review. Feature selection has always been a critical and challenging problem in machine learning-based sentiment classificatio...

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Bibliographic Details
Main Author: Nur Syafiqah, Mohd Nafis
Format: Thesis
Language:English
Published: 2022
Subjects:
Q Science (General)
QA75 Electronic computers. Computer science
Online Access:http://umpir.ump.edu.my/id/eprint/37676/
http://umpir.ump.edu.my/id/eprint/37676/1/ir.The%20hybrid%20feature%20selection%20technique%20using%20term%20frequency-inverse%20document%20frequency%20and%20support%20vector%20machine-recursive%20feature%20elimination%20for%20sentiment%20classification.pdf

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