Topic classification and sentiment analysis for Vietnamese education survey system

Abstract

Collecting survey and feedback for analyzing useful information plays an important role in many fields such as business, market, manager, etc.  In education, this analysis is the key in improving the teaching quality and the management process. We are interested in comments on students which are collected in the surveys. To evaluate the progress of students, surveys are collected from related person, including lecturers, teaching assistants, and companies.Currently, the comments on students are processed manually. In this work, we propose a method for classifying topicand analyzing the sentiment in these comments. We employ machine learning technique to solve these two sub-problems.We introduce a new concept called Bag-of-Structure (BoS) for sentiment mining and classification process.The experiment results demonstrate that our proposed method yields useful information for making decision to improve the current education system.