The WHO has declared COVID-19 (Coronavirus Disease 2019) a global health emergency.
Up to 19 November 2021, the total positive cases in Indonesia reached 4,252,705, of which …

One of the major factor which can affect the accuracy of text classification is the imbalanced
dataset. In order to find the suitable method to handle this issue, six different ensemble …

The problem of imbalanced data can be frequently found in the real-world data. It leads to
the bias of classification models, that is, the models predict most samples as major classes …

In supervised machine learning, with an imbalanced dataset, achieving better classification
in minority classes is a major challenge. In such situation, machine learning model shows …

In this study, we used SVM for text classification. There is stemming or Iemmatization word
normalization with the addition of Chi-squarefeature selection on the classification that we …

This study used a quantitative approach created by the author to describe the accuracy of
the classification machine learning for news text. In this report we compare the results of the …

Text classification is a crucial method for Intelligent and AI based systems as the amount of
text data increases from year to year. As sentiment analysis which is a prominent technique …

A complaint report contains citizen's complaint about problems in their area. The text of this
report needs to be classified into specific categories to make it easier for the government to …

Twitter is one of the social media that is widely used where Indonesia occupies the 6th
largest Twitter user in the world. This research is a quantitative study on fine-grained …

Training good classifiers on imbalanced dataset has always been a challenge, especially if
the classifier has to work with textual data. Natural language is one such area where there …