Sökning: "Förutsägelse av Känslor"

Hittade 4 uppsatser innehållade orden Förutsägelse av Känslor.

  1. 1. Multi-Class Emotion Classification for Interactive Presentations : A case study on how emotional sentiment analysis can help end users better convey intended emotion

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Charlotte Andersson; [2022]
    Nyckelord :Interactive Presentations; Audience Engagement Platform; Emotion Prediction; Natural Language Processing; Text Classification; Sentiment Analysis; BERT; Case Study; Interaktiva Presenationer; Publikengagemangsplattform; Förutsägelse av Känslor; Natural Language Processing; Textklassificering; Attitydanalys; BERT; Fallstudie;

    Sammanfattning : Mentimeter is one of the fastest-growing startups in Sweden. They are an audience engagement platform that allows users to create interactive presentations and engage an audience. As online information spreads increasingly faster, methods of analyzing, understanding, and categorizing information are developing and improving rapidly. LÄS MER

  3. 2. Predicting comfort in autonomous driving from vibration measurements using machine learning models

    Master-uppsats, KTH/Fordonsdynamik

    Författare :Kate Asarar; [2021]
    Nyckelord :Passenger comfort; Machine learning; Autonomous driving; Vibrationer; Passagerarkomfort; Maskininlärning; Vibrationer; Självkörande bilar;

    Sammanfattning : Highly automated driving is approaching reality at a high speed. BMW is planningto put its first autonomous driving vehicle on the road already by 2021. The path torealising this new technology is however, full of challenges. LÄS MER

  4. 3. Classification of Affective Emotion in Musical Themes : How to understand the emotional content of the soundtracks of the movies?

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Paula Diaz Banet; [2021]
    Nyckelord :Music emotion recognition; Deep learning; Feature extraction; VGGish; Mel-frequency Cepstral Coefficients.; Music emotion recognition; Deep learning; Särdragsextraktion; VGGish; Mel-frequency Cepstral Coefficients;

    Sammanfattning : Music is created by composers to arouse different emotions and feelings in the listener, and in the case of soundtracks, to support the storytelling of scenes. The goal of this project is to seek the best method to evaluate the emotional content of soundtracks. LÄS MER

  5. 4. And the winner is... : Predicting the outcome of Melodifestivalen by analyzing the sentiment value of Tweets

    Kandidat-uppsats, KTH/Skolan för datavetenskap och kommunikation (CSC)

    Författare :Alexander Koski; Jennifer Persson; [2017]
    Nyckelord :;

    Sammanfattning : In a world where a lot of people post their feelings about things on social media, the interest in using sentiment analysis to be able to collect and understand these feelings has arisen. This thesis aims to investigate the possibility of predicting the outcome of a television competition, decided partly by the viewers’ votes, using sentiment analysis on tweets. LÄS MER