Abstract: This study proposes a folder allocation system for electronic text document thru the implementation of Bayesian classification approach. The manual folder allocation task for documents in computers has led to great inconveniences and extensive human efforts and involvements are required. This problem has become worse when the number of folders is huge and the structure is complex and continuously growing. In this study, an automatic folder allocation system is proposed by implementing Bayesian text classification approach. The Bayesian folder allocation system performs the tasks of managing, maintaining and organizing the documents in the storage space of a computer, by segmenting the documents into groups based on their topics, contents and similarities. From the experiments, Bayesian classifier has achieved the performance with the average accuracy of around 85%, with the highest up to 95.56% and lowest at 71.26%. The Bayesian folder allocation system has greatly minimized human involvement in allocating appropriate folder for documents, hence contributes to great convenience of the user in creating, editing, managing and storing electronic text documents in computer.