Sökning: "Sentiment indicators"
Visar resultat 1 - 5 av 20 uppsatser innehållade orden Sentiment indicators.
1. Prevalent Discord. Exploring and estimating the prevalence of the type of user disagreement on news media Facebook posts discussing the Colombian peace process (2020-2022)
Master-uppsats, Lunds universitet/Graduate SchoolSammanfattning : This thesis is dedicated to exploring and understanding public reactions within negotiated peace settlements based on social media data. Concretely, to modeling public opinion and sentiment within the context of the Colombian peace process using a curated dataset of N= ~1. LÄS MER
2. The West African Coup Trap : A qualitative case study of military coups d'état in Mali, Niger, Burkina Faso, and Guinea
Kandidat-uppsats, Linnéuniversitetet/Institutionen för statsvetenskap (ST)Sammanfattning : Africa is the continent having the most coups d'état. From 2020 to 2022, there were six coups and three coup attempts on the continent. This study aims to investigate the causes of these coups d'état in Mali, Burkina Faso, Niger, and Guinea, four former French colonies in West Africa. LÄS MER
3. Unlocking the crystal ball: Deciphering recessions through dynamic relationships among leading indicators in Sweden
Kandidat-uppsats, Jönköping University/IHH, NationalekonomiSammanfattning : Forecasting economic recessions has been a major topic of interest for economists, decisionmakers and the public alike. In this study we ventured to analyse how changes in economic output or GDP is related to changes in consumer sentiment and house prices in the Swedish economy. LÄS MER
4. The impact of macroeconomic factorson the propensity of risk : How macroeconomic factors influence the level of risk in different stock market
Uppsats för yrkesexamina på avancerad nivå, Blekinge Tekniska Högskola/Institutionen för industriell ekonomiSammanfattning : Background: Asset prices, investment choices, and market mood can all be greatly impacted by macroeconomic factors and risk perception. Therefore, for investors, portfolio managers, policymakers, and regulators looking to negotiate the complexity of financial markets, knowing how macroeconomic factors affect risk is crucial. LÄS MER
5. Predicting Forex Rates using Sentiment Analysis on Financial Articles
Kandidat-uppsats, Lunds universitet/Nationalekonomiska institutionenSammanfattning : We develop a deep learning model that uses financial news articles and historical exchange rates to predict the rate for the Euro/US Dollar currency pair one hour ahead. From the articles’ titles and bodies we extract sentiment scores using two different transformer based classifiers – one for short text and one for long text. LÄS MER