Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
Results
Showing 1 to 14 of 14 for “"emotion classification"”.
-
A Novel Deep Learning Approach for Emotion Classification
… to detect and identify. Due to the above, emotion detection and classification have always been hot research topics. The recently adopted networks to train FERs are yet to focus on issues caused due to overfitting, effectuated by insufficient data for training and expression unrelated …
-
Mapping multivariate measures of brain response onto stimulus information during emotional face classification
… between feature processing and visual classification in the brain has been explored through a combination of reverse correlation methods (i.e.“Bubbles” [22]) and electrophysiological measurements (EEG) taken during a facial emotion categorization task [63]. However, in the absence of …
-
Emotions and the Mirror Neuron System: How far can sensorimotor simulation differentiate between dynamic emotional facial expressions?
… Despite the MNS’s growing associations with emotion processing, there are gaps in research that have yet to be explored, particularly when using sensorimotor oscillations as an index of MNS activity. This thesis aimed to reduce aspects of these knowledge gaps through three empirical studies. …
-
FINE-GRAINED EMOTION DETECTION IN MICROBLOG TEXT
<p>Automatic emotion detection in text is concerned with using natural language processing techniques to recognize emotions expressed in written discourse. Endowing computers with the ability to recognize emotions in a particular kind of text, microblogs, has important applications in sentiment …
-
Domain-specific lexicon generation for emotion detection from text.
Emotions play a key role in effective and successful human communication. Text is popularly used on the internet and social media websites to express and share emotions, feelings and sentiments. However useful applications and services built to understand emotions from text are limited in …
-
Neural Networks for Music Emotion Recognition and Social Tags Emotion Representation
Music Emotion Recognition (MER), an important branch of Music Information Retrieval (MIR) systems, has become a very active research area, driven by the need to detect emotion in music automatically. A great deal of research has contributed to this area. With the emergence of neural networks, MER …
-
Exploring Loss Functions in Machine Learning
… stands as a prevalent choice in neural network classification tasks. It treats all misclassifications uniformly. However, multi-class classification problems often have many semantically similar classes. We should expect that these semantically similar classes will have similar parameter …
-
Speech-Based Emotion Modelling and Mental Disorder Detection
Emotion modelling and understanding are crucial for artificial intelligence (AI) systems to achieve enhanced contextual understanding and adaptive, personalised human-AI interaction. Speech contains important clues for detecting emotion through a variety of vocal characteristics such as prosody, …
-
Enriching Word Representation Learning for Affect Detection and Affect-Aware Recommendations
… affective states such as mood, sentiment and emotions from textual data. The main affective tasks, including sentiment analysis, emotion classification and sarcasm detection have been popular in recent years due to a broad range of relevant applications in various domains. Traditionally, …
-
Machine Learning Solutions for Emotional Speech: Exploiting the Information of Individual Annotations
Speech emotion recognition solutions designed under controlled conditions do not translate well into real-life applications. The first step to address this issue is developing a large, natural emotional database. Current approaches used to collect spontaneous databases tend to provide unbalanced …
-
Development of an Emotion Recognition Classifier from Body Language Using Deep Learning for the Children with Autism to Help Identifying Human Emotions
… training the machine learning model to recognize emotions from a person’s body language. This research aims to develop an emotion recognition classifier for children with autism spectrum disorder (ASD) to help recognize emotions in social interaction. It classifies six universal emotions- “anger,” …
-
Real-time video sentiment analysis through the use of snapshots
There are many types of emotions that one can experience and they usually have a direct impact on a person's behaviour. Emotions can be conveyed in several ways such as gestures/body movement, words or facial expressions and this dissertation we aim to distinguish the emotional state of a person …
-
Improving the Design of Civil Infrastructure Messages for the Public
… for research question 2; and sentiment analysis, emotion detection analysis, as well as a two-phased qualitative coding analysis (i.e., in-vivo coding, focused coding) were conducted to investigate how WEAs can be better designed to increase public attention and engagement for research question 3. …
-
Modelos de aprendizaje profundo y procesamiento de lenguaje natural para el análisis de tópicos y emociones en YouTube sobre el conflicto palestino-israelí
Este estudio analiza las narrativas discursivas publicadas en YouTube por canales de distintas orientaciones informativas sobre el conflicto palestino-israelí, en el periodo comprendido entre el 7 de octubre de 2023 y el 27 de marzo de 2025. Se aplicó un enfoque de análisis no supervisado mediante …