Prediction of interest for dynamic profile of Twitter user

Numerous studies have been conducted to explore the social network of Twitter; some have been conducted to predict the interest or the topic of the user´s tweet. In this study, we investigate the best classification model for determining the user´s interest based on the bio and a collection of tweets. We use the supervised learning-based classification with the lexical features. Two approaches were proposed; they are the classification that was made based on the user´s tweet using multilabel classification method and the classification that was made based on specific accounts. From the result of experimental result, it could be concluded that the employment of the classification using specific accounts approach led to better accuracy.