Learning and Emotion
STOCK PREDICTION THROUGH MACHINE LEARNING AND EMOTION DETECTION
... The thrust of this paper is to highlight the importance of prediction of stock marketing and a different models to achieve it. We have proposed a model to predict stock through machine learning and emotion ...
5
Learning and Emotion in Infants
... infants. Under conditions in which “children were taught an instrumental arm-pulling response, the children showed surprise at the point when they discovered that the arm-pull could turn on a [photo- graphic] slide.” The ...
8
Text to Emotion Extraction Using Supervised Machine Learning Techniques
... machine learning based approach of emotion extraction from text which could eliminate the problems of rule based approach, it was not taken into account ...with emotion category rather emotion ...
8
Text Based Intelligent Learning Emotion System
... intelligent learning emotion system is des- perately needed for detecting emotion among these ...text-based emotion recognition approach that uses personal text data to recognize user’s ...
10
Learning spontaneity to improve emotion recognition in speech
... compare emotion recognition in the two types of speech, they observe that different sets of features contribute to the success of emotion classification in sponta- neous ...on emotion recognition ...
6
Emo2Vec: Learning Generalized Emotion Representation by Multi task Training
... as emotion is a complex concept, we believe that all emotion involving situations such as stress, hate speech, sarcasm, and insult, should be included for a deeper understanding of emo- ...multi-task ...
9
A Review on Deep Learning Algorithms for Speech and Facial Emotion Recognition
... Deep Learning framework using EEG signals for affective state recognition ...deep learning with variation of ...Automatic Emotion Recognition based on lip ...
17
Learning in virtual reality : effects on performance, emotion, and engagement
... potential learning and education ...three learning conditions: traditional (textbook style), VR and video (a passive ...The learning materials used the same text and 3D model for all ...conditions. ...
13
Identity, emotion and the internal goods of practice: a study of learning disability professionals.
... to emotion. Learning to disengage emotionally was often seen as a skill that had to be acquired in order to recover from the sometimes taxing nature of some of the ...
33
Articulation constrained learning with application to speech emotion recognition
... in emotion recognition ...speech emotion databases reveals that most are comprised of a very small number of subjects with, at most, a few hundred instances per class ...transfer learning for ...
17
Multi task Learning for Multi modal Emotion Recognition and Sentiment Analysis
... and emotion of an utterance simultaneously in a multi-task learning frame- ...and emotion classification for predic- tion (one for each task in the multi-task frame- ...for emotion ...
10
Thought Chart: tracking the thought with manifold learning during emotion regulation
... were requested to look at pictures displayed on the screen and listen to a corresponding auditory guide. Two types of pictures will be on display for 7 s in random orders: emotionally neutral pictures (landscape, ...
9
Cooperative Learning and Its Application to Emotion Recognition From Speech
... acoustic emotion recognition system. To do so, we implement various learning algorithms for retraining a classifier consisting of Support Vector Machines (SVMs) ...Supervised Learning (SL) [22] ...
21
Emotions from Text: Machine Learning for Text based Emotion Prediction
... In addition to information, text con- tains attitudinal, and more specifically, emotional content. This paper explores the text-based emotion prediction prob- lem empirically, using supervised machine ...
8
Transfer Learning Emotion Manifestation Across Music and Speech
... In all four experiments, we computed 20 trials for each model, all with randomized initial weights in the range [- 0.1,0.1]. After preliminary tests, we settled with an architec- ture consisting of 2 hidden layers, each ...
7
Learning to Labour with Feeling: class, gender and emotion in childcare education and training
... entails learning to manage one’s own feelings in order to evoke particular feelings in other ...of emotion is an integral expectation of gender- stereotyped ‘women’s work’ in caring and personal service ...
15
Text Emotion Distribution Learning from Small Sample: A Meta Learning Approach
... Text emotion distribution learning (EDL) aims to develop models that can predict the inten- sity values of a sentence across a set of emo- tion ...supervised learning require a large amount of ...
11
Music emotion recognition: a multimodal machine learning approach
... lyrics-based emotion classification using feature selection by partial syntactic analysis ...music emotion classification methods using mostly the audio features associated with music melodies, such as ...
114
ASR based Features for Emotion Recognition: A Transfer Learning Approach
... It has recently been shown that for emotion recognition, deep learning based systems learn features that outperform handcrafted features (Tri- georgis et al., 2016) (Martinez et al., 2013) (Kim et al., ...
5
Recognition of the emotion in abstract expressionistic paintings using a machine learning approach
... evoked emotion by classification algorithms give a correct classification of ...easiest emotion dimension to predict an evoked emotion ...the emotion of an abstract expressionistic painting. ...
60