Automatic affect recognition using natural language processing techniques and manually built affect lexicon
Automatic affect recognition using natural language processing techniques and manually built affect lexicon
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DOI：
10.1093/ietisy/e89-d.12.2964
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发表时间：
2006-12-01
影响因子：
0.7
通讯作者：
Lee, Kong Joo
中科院分区：
文献类型：
--
作者：
Cho, Young Hwan;Lee, Kong Joo
在本文中，我们提出了通过使用手动构建的情感词典并采用自然语言处理工具来识别韩语文本文档中的情感的初步工作。构建手动构建的情感词典是为了能够检测各种情感表达，其条目由情感向量组成。自然语言处理工具分析输入文档以提高情感识别器的准确性。我们的情感识别器的性能是通过根据情绪对歌词进行自动分类来评估的。
In this paper, we present preliminary work on recognizing affect from a Korean textual document by using a manually built affect lexicon and adopting natural language processing tools. A manually built affect lexicon is constructed in order to be able to detect various emotional expressions, and its entries consist of emotion vectors. The natural language processing tools analyze an input document to enhance the accuracy of our affect recognizer. The performance of our affect recognizer is evaluated through automatic classification of song lyrics according to moods.