Coastal Sentiment Review Using Naïve Bayes with Feature Selection Genetic Algorithm
نویسندگان
چکیده
Purpose: The tourism potential in the maritime sector can be Indonesia's mainstay at this time, especially enjoying charm of natural beauty coast as people know Indonesia is an archipelagic country. purpose study to find best model by applying feature selection genetic algorithm (GA) and Information Gain (IG) get Naïve Bayes (NB) features produce level sentiment classification accuracy.Methods: stages research were carried out going through process searching, pre-processing, analyzing data using optimizing algorithms, validating data, evaluation.Result: experimental results show that naïve based on information gain yields accuracy rate 86.34%.Novelty: main contribution proposing a new NB optimization search for increase accuracy.
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ژورنال
عنوان ژورنال: Scientific Journal of Informatics
سال: 2023
ISSN: ['2407-7658', '2460-0040']
DOI: https://doi.org/10.15294/sji.v10i3.43988