基于k近邻的歌词情感分类

Afif Hijra Ferdinan, Andrew Brian Osmond, C. Setianingsih
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引用次数: 4

摘要

每个人都会自然地经历各种各样的情绪。情感是一个人对某种事物的感觉,它会影响人的行为本身。情绪是主观的和暂时的,它是由刺激产生或触发的,比如来自周围其他人和环境的经验。其中一种可以触发某人情绪的环境是所听的歌曲。歌曲是由有规律的音调排列组成的音乐,里面有歌词。歌词是可以建立情感的部分。选择合适的歌词非常重要,因为它会创造出正确的情感。然后,选择合适的歌曲听也很重要。k- nn算法是对k个变量进行最近邻计数的分类算法之一。本研究结果显示平均准确率为75%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Emotion Classification in Song Lyrics Using K-Nearest Neighbor Method
Every human being is naturally experiences various emotions. Emotion is a person's feelings into something that affect person's behavior itself. Emotion is subjective and temporary that occurred or triggered by a stimulus such as experience from other people around him and the environment. One of the environment that can trigger someone's emotion is from the song being listened to. Songs are music that consists of a regular arrangement of tones and there are lyrics inside. Song lyrics are parts that can build emotions. Choosing the right words for lyrics are very important because it will create the right emotion. Then, choosing the right songs to listen is also important. k-NN algorithm is one of classification algorithm that will count nearest neighbor of k variable. The results in this study show average accuracy 75%.
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