Analysis of Feature Selection Methods for Sentiment Analysis Concerning Covid-19 Vaccination Issues
Sentiment analysis or opinion mining is a computational study of a person's opinions, sentiments, evaluations, attitudes, moods, and emotions. Sentiment analysis is one of the most active research areas in natural language processing, data mining, information retrieval, and web mining. One of...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
INTI International University
2023
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| Subjects: | |
| Online Access: | http://eprints.intimal.edu.my/1729/1/jods2023_03.pdf http://eprints.intimal.edu.my/1729/ http://ipublishing.intimal.edu.my/jods.html |
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| Summary: | Sentiment analysis or opinion mining is a computational study of a person's opinions, sentiments,
evaluations, attitudes, moods, and emotions. Sentiment analysis is one of the most active research
areas in natural language processing, data mining, information retrieval, and web mining. One of
the problems identified in the sentiment analysis process is the massive amount of data or text
properties. In sentiment analysis, each word or term is collected into properties or dimensions,
forming a data table. Due to the vast number of terms, this causes the process to take too long and
requires a computer with tremendous power or ability. In addition, this can lead to a decrease in
the quality of the model because data that is too large will also provide a significant bias value.
Not all terms have contributions or relationships to decisions or labels in the form of positive,
negative, and neutral values. For this reason, the feature selection method will be used in this study
to select features or terms that contribute more to decisions or labels. It is also hoped that this can
increase the quality of the prediction model that will be formed. In this study, the author will
continue the research from another researcher by adding a feature selection process, such as two
algorithms from the filtered method, chi-square, and information gain, and one algorithm from the
wrapped method, which is Genetic Algorithms (GA). The experiment result shows that the GA
obtained result has the highest accurate value compared to the other methods. |
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