This paper explores automatic annotation of dream re-ports. We first compile “emotion dictionaries ” from a thesaurus using Hall/Van de Castle emotion categories proposed for dream analysis. We capture the inherent ambiguity and polysemy of emotion words in word pro-files, which give the fuzzy membership score of a word on all five emotion categories. We then use the derived dictionaries to assign emotion categories to texts in so-called category profiles. We analyze several parameters of the technique. A comparison with the manual an-notation of texts from DreamBank indicate that this multi-faceted approach is promising. 1
Emotion analysis (EA) is a rapidly developing area in computational linguistics. For most EA systems...
This paper presents an approach to automated marking up of texts with emotional labels. The approach...
Emotion analysis (EA) is a rapidly developing area in computational linguistics. For most EA systems...
In a scientific study of dream content, artificial intelligence has been utilized to automatically s...
Emotion analysis (EA) is a rapidly developing area in computational linguistics. An EA system can be...
Sleep scientists have shown that dreaming helps people improve their waking lives, and they have don...
In computational linguistics, the increasing interest of the detection of emotional and personality ...
The objective of this research is to develop a technique to automatically annotate emotional corpora...
Detecting depression or personality traits, tutoring and student behaviour systems, or identifying c...
In this position paper, we propose a first step toward automatic analysis of sentiments in dreams. 1...
Presented is an implementation of the SALAD algorithm for dream content analysis through word search...
Computer-based dreams content analysis relies on word frequencies within predefined categories in or...
For dream content analysis, automatic quantitative analysis techniques not only can be faster than t...
Detecting depression or personality traits, tutoring and student behaviour systems, or identifying c...
International audienceEmotion analysis in texts suffers from two major limitations: annotated gold-s...
Emotion analysis (EA) is a rapidly developing area in computational linguistics. For most EA systems...
This paper presents an approach to automated marking up of texts with emotional labels. The approach...
Emotion analysis (EA) is a rapidly developing area in computational linguistics. For most EA systems...
In a scientific study of dream content, artificial intelligence has been utilized to automatically s...
Emotion analysis (EA) is a rapidly developing area in computational linguistics. An EA system can be...
Sleep scientists have shown that dreaming helps people improve their waking lives, and they have don...
In computational linguistics, the increasing interest of the detection of emotional and personality ...
The objective of this research is to develop a technique to automatically annotate emotional corpora...
Detecting depression or personality traits, tutoring and student behaviour systems, or identifying c...
In this position paper, we propose a first step toward automatic analysis of sentiments in dreams. 1...
Presented is an implementation of the SALAD algorithm for dream content analysis through word search...
Computer-based dreams content analysis relies on word frequencies within predefined categories in or...
For dream content analysis, automatic quantitative analysis techniques not only can be faster than t...
Detecting depression or personality traits, tutoring and student behaviour systems, or identifying c...
International audienceEmotion analysis in texts suffers from two major limitations: annotated gold-s...
Emotion analysis (EA) is a rapidly developing area in computational linguistics. For most EA systems...
This paper presents an approach to automated marking up of texts with emotional labels. The approach...
Emotion analysis (EA) is a rapidly developing area in computational linguistics. For most EA systems...