Abstract
This study aims to analyze the Korean dataset by performing Korean sentence Emotion Analysis in the radio listeners' text messages collected personally. Currently, in Korea, research on the Emotion Analysis of Korean sentences is variously continuing. However, it is difficult to expect high accuracy of Emotion Analysis due to the linguistic characteristics of Korean. In addition, a lot of research has been done on Binary Sentiment Analysis that allows positive/negative classification only, but Multi-class Emotion Analysis that is classified into three or more emotions requires more research. In this regard, it is necessary to consider and analyze the Korean dataset to increase the accuracy of Multi-class Emotion Analysis for Korean. In this paper, we analyzed why Korean Emotion Analysis is difficult in the process of conducting Emotion Analysis through surveys and experiments, proposed a method for creating a dataset that can improve accuracy and can be used as a basis for Emotion Analysis of Korean sentences.
| Translated title of the contribution | A Study on the Dataset of the Korean Multi-class Emotion Analysis in Radio Listeners' Messages |
|---|---|
| Original language | Korean |
| Pages (from-to) | 940-943 |
| Number of pages | 4 |
| Journal | 방송공학회 논문지 |
| Volume | 27 |
| Issue number | 6 |
| DOIs | |
| State | Published - Nov 2022 |