Thai sentiment terms construction using the Hourglass of Emotions

Rathawut Lertsuksakda, P. Netisopakul, Kitsuchart Pasupa
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引用次数: 17

Abstract

Most of the current sentiment analysis techniques classifies emotions into two classes which are positive and negative. Some works classify them as positive, negative and objective (neutral). In fact, there are many kinds of emotions in human mind. Recently, psychological viewpoints have influenced most of the works in sentiment analysis. This psychology perspective was adopted to classify human emotions into a wider range, and in a more accurate manner. This paper reviews the adopted computational representation of emotions the so-called Hourglass of Emotion. This paper also proposes a construction of Thai sentiment resource based on such representation for Thai sentiment term tagging. A preliminary sentiment text tagging result shows that the resource as an ontology can be successfully used to tag sentiment text in Thai children stories.
使用 "情感沙漏 "构建泰语情感术语
目前大多数情感分析技术都将情感分为积极和消极两类。有些著作将情绪分为积极、消极和客观(中性)三种。事实上,人类的情绪有很多种。最近,心理学观点影响了情感分析的大部分工作。这种心理学观点被采用来对人类情绪进行更广泛、更准确的分类。本文回顾了所采用的情绪计算表示法,即所谓的 "情绪沙漏"。本文还提出了一种基于这种表示法的泰语情感资源构建方法,用于泰语情感术语标记。初步的情感文本标记结果表明,本体资源可成功用于标记泰国儿童故事中的情感文本。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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