Corpus Analysis and Automatic Detection of Emotion-inducing Keywords

被引：0
|
作者：
Yuan, Bo [1 ]
He, Xiangqing [1 ]
Liu, Ying [1 ]
机构：
[1] Tsinghua Univ, Lab Computat Linguist, Beijing 100084, Peoples R China
来源：
SIXTH INTERNATIONAL CONFERENCE ON MACHINE VISION (ICMV 2013) | 2013年 / 9067卷
关键词：
Emotion-Inducing Keywords; Sentiment Analysis; Corpus Analysis; Logistic Regression; SENTIMENT;
D O I：
10.1117/12.2052979
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Emotion words play a vital role in many sentiment analysis tasks. Previous research uses sentiment dictionary to detect the subjectivity or polarity of words. In this paper, we dive into Emotion-Inducing Keywords (EIK), which refers to the words in use that convey emotion. We first analyze an emotion corpus to explore the pragmatic aspects of EIK. Then we design an effective framework for automatically detecting EIK in sentences by utilizing linguistic features and context information. Our system outperforms traditional dictionary-based methods dramatically in increasing Precision, Recall and Fl-score.
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页数：5
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