Sökning: "emotion detection"
Visar resultat 1 - 5 av 12 uppsatser innehållade orden emotion detection.
1. AI Second that Emotion - Using Natural Language Processing to Study the Impact of Non-Stereotyped Video Advertising on Consumers’ Emotions & Online Consumer Engagement
Master-uppsats, Göteborgs universitet/Graduate SchoolSammanfattning : This paper aims to provide a deeper understanding of the emotional and online engagement behavioral responses to non-stereotyped gender role depictions in video advertisements. The consumer response to two video ads that portray non-stereotyped gender roles by the well-known brands Gillette and Always was analyzed. LÄS MER
2. Emotion recognition with Deep Learning and its correlation with veracity
Master-uppsats, Uppsala universitet/Institutionen för informationsteknologiSammanfattning : Emotion recognition is an interesting and important field of study in many professional fieldssuch as medicine and law enforcement. This topic of study has many different challenges toexplore and we chose a few of these to expand upon. LÄS MER
3. Hotspot Detection for Automatic Podcast Trailer Generation
Master-uppsats, Uppsala universitet/Institutionen för lingvistik och filologiSammanfattning : With podcasts being a fast growing audio-only form of media, an effective way of promoting different podcast shows becomes more and more vital to all the stakeholders concerned, including the podcast creators, the podcast streaming platforms, and the podcast listeners. This thesis investigates the relatively little studied topic of automatic podcast trailer generation, with the purpose of en- hancing the overall visibility and publicity of different podcast contents and gen- erating more user engagement in podcast listening. LÄS MER
4. Emotion Detection from Electroencephalography Data with Machine Learning : Classification of emotions elicited by auditory stimuli from music on self-collected data sets
Master-uppsats, KTH/Skolan för kemi, bioteknologi och hälsa (CBH)Sammanfattning : The recent advances in deep learning have made it state-of-the-art for many different tasks, making its potential usefulness for analyzing electroencephalography (EEG) data appealing. This study aims at automatic feature extraction and classification of likeability, valence, and arousal elicited by auditory stimuli from music by training deep neural networks (DNNs) on minimally pre-processed multivariate EEG time series. LÄS MER
5. Detection of Human Emotion from Noise Speech
Master-uppsats, Blekinge Tekniska Högskola/Institutionen för tillämpad signalbehandlingSammanfattning : Detection of a human emotion from human speech is always a challenging task. Factors like intonation, pitch, and loudness of signal vary from different human voice. So, it's important to know the exact pitch, intonation and loudness of a speech for making it a challenging task for detection. LÄS MER