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.
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Showing 1 to 20 of 30 for “"Emotion detection"”.
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Exploring embedding vectors for emotion detection
… effective and efficient models to detect the emotions from short texts become highly desirable and in some cases fundamental to a range of applications that require emotion understanding of textual content, such as human computer interaction, marketing, e-learning and health. Emotion detection …
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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 …
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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 …
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Applications of twitter emotion detection for stock market prediction
… to be able to distinguish between distinct emotions as opposed to just the polarity. In this thesis, we use a supervised learning approach to develop an emotion classifier for the six Ekman emotions: joy, fear, sadness, disgust, surprise, and anger. Then we apply our emotion classifier to …
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Fuzzy rough set methods for emotion detection and sentiment analysis
In dit proefschrift gebruiken we fuzzy rough set-methoden voor taken op het gebied van natuurlijke taalverwerking zoals emotiedetectie en sentimentanalyse. In het bijzonder werken we met ordinale multiclassificatie voor het categoriseren van emotie-intensiteit; binaire classificatie voor het …
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Multi-modal emotion detection using deep learning for interpersonal communication analytics
… from a broader perspective, including emotional and cognitive interactions, in TED talk or classroom settings. We are mainly interested in the recognition of facial and gesture emotions captured in such contexts. More specifically, we proposed a multi-modal emotion detection approach …
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Pathos: Enhancing Emotion Detection in Italian and Beyond with a Web-Based Solution [Pathos: miglioramento del riconoscimento delle emozioni in italiano e in contesti multilingue, tramite un'interfaccia web dedicata]
Questa tesi affronta lo sviluppo, la valutazione e l'applicazione di un modello di intelligenza artificiale specializzato nel riconoscimento delle emozioni, con un focus particolare sulla lingua italiana e un'estensione a contesti multilingue. Dopo aver contestualizzato l'evoluzione dell'analisi …
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Recommendations in visual analytics using emotions : a mixed-initiative interaction approach
… approach by detecting users’ negative emotions, caused by the visual analytic tasks, as a cue to generate useful guidance. For building a negative emotion detection classifier, I have created a dataset from 28 participants carrying out intentionally difficult visualization tasks and …
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Self-adaptation of software services based on user profile
… in user experience through real-time emotion detection, the relationship between emotions and personality traits in self-adaptive software systems has not been deeply investigated. This study analyzes the possibility of implementing a software service capable of dynamically adjusting …
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Psychophysiological measures of mental effort and emotion within user research
… consumer level hardware is used to measure the emotional states of workplace employees. The hardware captured electrodermal activity and heart rate data from participants while they also submitted their emotional states as training data. These data were used to build a general emotion detection …
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Wearable Gut and Brain Interfaces for Valence Detection and Modulation
Emotion detection interfaces have shown promise in mediating our emotional health through improved diagnosis, self-tracking, social support systems, mindfulness, and biofeedback training; however, the most popular methods falter when distinguishing between positive and negative valence - or lead to …
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Affective analysis of text in tweets
… and development of devices that can recognize emotions through various modes such as video, audio and text automatically. In this thesis, I focus on the problem of affective computing in short texts, in particular, tweets. With the evolution of social media in the recent years, there has been a …
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A study of how emotional design of a digital task management tool impacts individual productivity
Emotions play a critical role in perception and decision making. The use of emotional design in multimedia learning tools has been previously studied and it has been shown that positive emotions facilitate learning by reducing task difficulty and increasing motivation. This study aims to apply …
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The computational face for facial emotion analysis: Computer based emotion analysis from the face
… we study the different aspects of facial emotion detection, analysis and investigate possible hidden identity clues within the facial expressions. We study a deeper aspect of facial expressions whereby we try to identify gender and human identity - which can be considered as a form of …
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The computational face for facial emotion analysis: Computer based emotion analysis from the face
… we study the different aspects of facial emotion detection, analysis and investigate possible hidden identity clues within the facial expressions. We study a deeper aspect of facial expressions whereby we try to identify gender and human identity - which can be considered as a form of …
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Social media analytics with applications in disaster management and COVID-19 events
… model with adversarial sample generation for emotion detection using tweets related to COVID-19. This work also presents a custom Q&A-based RoBERTa model for extracting related phrases for emotions. Finally, with the aim of polarization detection, this research work proposes a deep learning …
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A Knowledge Graph based Method on Language Understanding for Customer Service
… technologies developing, sentiment analysis and emotion detection has been demonstrated to understand customers’ satisfaction effectively. However, these popular methods only devote the polarity or emotional expression of products or service, they have limitations on exploring relevant knowledge …
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Contrast sensitivity and emotion recognition across the menstrual cycle
… higher-level perceptual processes such as facial emotion perception are driven wholly by low-level processing of basic visual properties. The second experiment investigates the role of low-level visual processing in emotion detection both between and within men and women. It also measures these …
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Decoding Identity Through Text-based Human Micro-expressions: A Novel Approach in Social Behavioral Biometrics
… for online person identification. An emotion detection model is initially developed to extract Parrott’s primary emotion scores from OSN users’ writing samples posted on Twitter. The corresponding emotion-progression features are extracted using an original technique that turns users’ …
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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 …
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