Sökning: "sentiment analysis"

Visar resultat 1 - 5 av 177 uppsatser innehållade orden sentiment analysis.

  1. 1. Text Classification of Human Resources-related Data with Machine Learning

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

    Författare :Christine Rosquist; [2021]
    Nyckelord :;

    Sammanfattning : Text classification has been an important application and research subject since the origin of digital documents. Today, as more and more data are stored in the form of electronic documents, the text classification approach is even more vital. LÄS MER

  2. 2. All Negative on the Western Front: Analyzing the Sentiment of the Russian News Coverage of Sweden with Generic and Domain-Specific Multinomial Naive Bayes and Support Vector Machines Classifiers

    Kandidat-uppsats, Uppsala universitet/Institutionen för lingvistik och filologi

    Författare :David Michel; [2021]
    Nyckelord :sentiment analysis; news sentiment; text classification; cross-domain sentiment classification; domain specificity; domain-transfer problem; transfer learning; knowledge transfer; support vector machines; SVM; multinomial naive Bayes; Sweden; Aurora 17; Russia; Russian news; RT; Sputnik; cyberwarfare; influence campaign; disinformation; fake news; propaganda;

    Sammanfattning : This thesis explores to what extent Multinomial Naive Bayes (MNB) and Support Vector Machines (SVM) classifiers can be used to determine the polarity of news, specifically the news coverage of Sweden by the Russian state-funded news outlets RT and Sputnik. Three experiments are conducted. LÄS MER

  3. 3. Sentiment towards the COVID-19 pandemic - A valuable instrument for predicting prices in the US stock market?

    D-uppsats, Handelshögskolan i Stockholm/Institutionen för finansiell ekonomi

    Författare :Rebecca Sehlbach; Yuhan Hu; [2021]
    Nyckelord :COVID-19 pandemic; sentiment analysis; Twitter; LSTM model; stock market prediction;

    Sammanfattning : This thesis investigates the impact of sentiment towards the COVID-19 pandemic on stock prices by incorporating sentiment into the existing Long Short-Term Memory (LSTM) model for predicting stock prices in the United States. Existing research on this field has principally been conducted before the outbreak of the pandemic, while more current studies have largely focused on overall sentiment rather than sentiment towards the pandemic. LÄS MER

  4. 4. In the Eye of a Pandemic: An Event Study of the Swedish Stock Market Reactions to the Covid-19 Press Conferences

    C-uppsats, Handelshögskolan i Stockholm/Institutionen för finansiell ekonomi

    Författare :Julia Karnermo; Emma Sedolin; [2021]
    Nyckelord :Sweden; Covid-19; News Announcements; Behavioral Finance; Sentiment;

    Sammanfattning : Using intraday trading data for the Swedish stock market, this paper examines the stock market reactions to The Public Health Agency of Sweden's daily press conferences covering Covid-19. Our results indicate that stock returns immediately drop at the 1% significance level when negative news are announced. LÄS MER

  5. 5. Investerarnas position : En studie om semantisk analys av forumstrådar på wallstreetbets.

    Kandidat-uppsats, Linköpings universitet/Institutionen för datavetenskap

    Författare :Olof Josefsson; [2021]
    Nyckelord :Reddit; wallstreetbets; semantisk analys; VADER; mixed-effect model;

    Sammanfattning : This thesis was aimed to evaluate if sentiment related to stocks expressed on the subforum “Wallstreetbets” also reflects the traded volume in the stock market. For this purpose, a collection of comment data from posts filtered under the “Hot” section was issued between the 6th of April 2021 and the 20th of April 2021 on daily basis at 22. LÄS MER