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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| Main Author: | |
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| Format: | Thesis |
| Language: | English |
| Published: |
2022
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| Subjects: | |
| Online Access: | 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 http://umpir.ump.edu.my/id/eprint/37676/ |
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| Institution: | Universiti Malaysia Pahang Al-Sultan Abdullah |
| Language: | English |
Internet
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.pdfhttp://umpir.ump.edu.my/id/eprint/37676/