Emotion models for textual emotion classification
نویسندگان
چکیده
منابع مشابه
Emotion models for textual emotion classification
This paper deals with textual emotion classification which gained attention in recent years. Emotion classification is used in user experience, product evaluation, national security, and tutoring applications. It attempts to detect the emotional content in the input text and based on different approaches establish what kind of emotional content is present, if any. Textual emotion classification...
متن کاملEvaluation of Unsupervised Emotion Models to Textual Affect Recognition
In this paper we present an evaluation of new techniques for automatically detecting emotions in text. The study estimates categorical model and dimensional model for the recognition of four affective states: Anger, Fear, Joy, and Sadness that are common emotions in three datasets: SemEval-2007 “Affective Text”, ISEAR (International Survey on Emotion Antecedents and Reactions), and children’s f...
متن کاملEmotion classification
Human emotions can be expressed as negativeto a particular stimulus. In this paper recognition based on Electroencephalogram (EEG) signals electrodes namely F3 and F4 for classification International Affective Picture System (IAPS). Hz), theta (4–8 Hz), alpha (8–16 Hz), beta (16 has been extractedfor every class of emotions combinations of the Entropy attribute extracted from the different freq...
متن کاملCorpus Fusion for Emotion Classification
Machine learning-based methods have obtained great progress on emotion classification. However, in most previous studies, the models are learned based on a single corpus which often suffers from insufficient labeled data. In this paper, we propose a corpus fusion approach to address emotion classification across two corpora which use different emotion taxonomies. The objective of this approach ...
متن کاملNeural Networks for Emotion Classification
...........................................................................................................................................5
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Journal of Physics: Conference Series
سال: 2016
ISSN: 1742-6588,1742-6596
DOI: 10.1088/1742-6596/772/1/012063