Sökning: "dictionary learning"

Visar resultat 16 - 20 av 44 uppsatser innehållade orden dictionary learning.

  1. 16. Hand Gesture Classification using Millimeter Wave Pulsed Radar

    Master-uppsats, Lunds universitet/Matematisk statistik

    Författare :Eda Dagasan; [2020]
    Nyckelord :Hand Gesture Classification; Millimeter Wave Radar; Statistical Signal Processing; Time-Frequency Analysis; Room Impulse Response Estimation; Sparse Dictionary Learning; Classification; Supervised Learning; Convolutional Neural Networks; k-Nearest Neighbor; Mathematics and Statistics;

    Sammanfattning : Millimeter wave pulsed radar has found many applications, among them hand gesture sensing, which this work has as purpose. This application has already shown good potential, [1], and here in this work robustness aspects are taken into account. LÄS MER

  3. 17. Extracting Adverse Drug Reactions from Product Labels using Deep Learning and Natural Language Processing

    Master-uppsats, KTH/Skolan för kemi, bioteknologi och hälsa (CBH)

    Författare :Shachi Bista; [2020]
    Nyckelord :;

    Sammanfattning : Pharamacovigilance relates to activities involving drug safety monitoring in the post-marketing phase of the drug development life-cycle. Despite rigorous trials and experiments that drugs undergo before they are available in the market, they can still cause previously unobserved side-effects (also known as adverse events) due to drug–drug interaction, genetic, physiological or demographic reasons. LÄS MER

  4. 18. When Literary Prose Meets Television : Comparing the vocabulary of A Song of Ice and Fire to Game of Thrones

    Kandidat-uppsats, Stockholms universitet/Engelska institutionen

    Författare :Sabur Kiflemariam; [2020]
    Nyckelord :;

    Sammanfattning : This paper compares the vocabulary used in the first seven episodes of Game of Thrones by television network HBO, to its source material, the 1996 novel A Game of Thrones. In particular, three questions were investigated; which medium uses the most frequent vocabulary, which medium makes most use of older words, and what do these findings imply with regards English language learning. LÄS MER

  5. 19. Predicting Tesla Stock Return Using Twitter Data - An Intraday View on the Relation between Twitter Dimensions and the Tesla Stock Return

    Master-uppsats, Lunds universitet/Nationalekonomiska institutionen

    Författare :Gustav Edman; Martin Weishaupt; [2020]
    Nyckelord :Sentiment; Tesla; Twitter; Support Vector Machine; VADER.; Business and Economics;

    Sammanfattning : In this thesis, Twitter data is used to predict the intraday stock return for Tesla, Inc. We present two different methods to extract the tweets’ sentiment: A dictionary-based approach (VADER) and a machine learning approach (SVM). Additionally, we control for other dimensions as the user and discussion dimension. LÄS MER

  7. 20. Extracting Customer Sentiments from Email Support Tickets : A case for email support ticket prioritisation

    Master-uppsats, Blekinge Tekniska Högskola/Institutionen för datavetenskap

    Författare :Albert Fiati-Kumasenu; [2019]
    Nyckelord :Machine Learning; Natural Language Processing; Sentiment Analysis; Cluster Ensemble; VADER; Customer support;

    Sammanfattning : Background Daily, companies generate enormous amounts of customer support tickets which are grouped and placed in specialised queues, based on some characteristics, from where they are resolved by the customer support personnel (CSP) on a first-in-first-out basis. Given that these tickets require different levels of urgency, a logical next step to improving the effectiveness of the CSPs is to prioritise the tickets based on business policies. LÄS MER