The Effect of Unigram and Bigram in the Naïve Bayes Multinomial for Analyzing of Comment Sentiment of Gojek Application in Google Play Store
Adrian Dwinanda Adyatma,
Lasmedi Afuan,
Eddy Maryanto
Abstract:In sentiment classification systems that use Naïve Bayes Classifier, a commonly used feature extraction method is TF-IDF with unigram and bigram, where the two is used separately. In the reality, most of texts contain single or composed word,so it is needed to use the combination of unigram and bigram to maximize the accuracy of the classification results. In this research, the impact and performance improvement between classification systems using unigram or bigram solely and those using a combination of bo… Show more
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