A Word Classification Model Based on K-Means Clustering Algorithm

Abstract

Speaking is activity of two or more people in sending and receiving information or messages in oral communication. The reason for teaching speaking to students is because it belongs to the basic language skill in English. In speaking classes, the teacher usually give a dialogue of a certain topic, then the students are being to practice and memorize the dialogue with their friends and finally present the dialogue in front of the class in turn. It means that to understand the dialogue, the students must have the ability in vocabulary, grammar and pronunciation. Because of that, speaking is very important to be taught to the students. Use the model to classify the difficulty level of solving words, and observe the word attributes contained in each category. Find out the difficulty level of the word EERIE and evaluate the accuracy of this model classification. The finding indicated that there is a significant difference. From this research it was known that t – score is highest than t – table. It's mean that this alternative hypothesis (Ha) is accepted. Thus, from the sensitivity analysis clear that the difference of the two means gained score was significant.