![]() Ina-BWR consists of three processes such as preprocessing informal text, identifying complaint and object from text. ![]() We develop Indonesian Bigram Word Rule for Multi-label Student Complaints (Ina-BWR) to identify multi-label student problems based on Bigram Word Rule. To show the effectiveness of the proposed method, data from Telkom University student data and additional relevant data by using hashtag are used as testing data. In this research bigram word rule and preprocess are proposed to increase the accuracy of multi-label classification results. One of techniques used for handling multi-label student complaints is Bag of Word (BoW) method. Handling multi-label student complaints is one of interesting research topics.
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