Sentiment analysis in learning resources

被引:1
|
作者
Salazar, Camilo [1 ]
Montoya-Munera, Edwin [1 ]
Aguilar, Jose [1 ,2 ,3 ]
机构
[1] Univ EAFIT, GIDITIC, Medellin, Colombia
[2] Univ Los Andes, CEMISID, Merida, Venezuela
[3] Univ Alcala, Dpto Automat, Alcala de Henares, Spain
关键词
Text emotion recognition; Learning resources; Sentiment analysis; EMOTIONAL DESIGN; TEXT; CLASSIFICATION; ACHIEVEMENT; MODEL;
D O I
10.1007/s40692-022-00237-9
中图分类号
G40 [教育学];
学科分类号
040101 ; 120403 ;
摘要
In this work, we aim to analyze the sentiments of learning resources from their textual contents. This work proposes a method for automatic assignment of emotional state to learning resources, based on their feature similarity with previously labeled learning resources. Then, various feature extraction strategies, which describe the relevant information in the texts, are compared for the task of sentiments analysis, considering the two main dimensions of emotions: arousal and valence. The results are very promising, showing a very high value in the performance metrics, like the R-2 score.
引用
收藏
页码:637 / 662
页数:26
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