Sökning: "Social media stock"
Visar resultat 1 - 5 av 74 uppsatser innehållade orden Social media stock.
1. The recruitment process to corporate boards - A qualitative study investigating female underrepresentation
Master-uppsats, Göteborgs universitet/Graduate SchoolSammanfattning : This research put emphasis on the election committee and its role in the recruitment process for corporate boards. Particularly, it investigates the cause of female underrepresentation in the boardroom of corporations listed on the Swedish stock exchange. LÄS MER
2. Deep Learning Based Sentiment Analysis
Master-uppsats, Blekinge Tekniska Högskola/Institutionen för datavetenskapSammanfattning : Background: Text data includes things like customer reviews and complaints,tweets from social media platforms. When analyzing text-based data, the SentimentModel is used. Understanding news headlines, blogs, the stock market, politicaldebates, and film reviews some of the areas where sentiment analysis is used. LÄS MER
3. Marknadsmanipulation på aktiemarknaden i en digital värld : Sociala medier och marknadsmanipulation på den svenska aktiemarknaden
Magister-uppsats, Stockholms universitet/Juridiska institutionenSammanfattning : Investment in the securities market has become increasingly common in re-cent years. The stock market has become more accessible, not least because of technological developments. There are many reasons why more people have become interested in stock trading. It can be anything from long-term savings, day trading or different types of investments. LÄS MER
4. Sociala mediers påverkan på investerares riskbenägenhet : En undersökning av medierande faktorer
Kandidat-uppsats, Uppsala universitet/Företagsekonomiska institutionenSammanfattning : Det senaste decenniet har användandet av sociala medier exploderat och blivit en plattformdär information och tips om aktier och investeringar delas ut. Unga personer är de störstaanvändarna av sociala medier, och tidigare studier visar att denna åldersgrupp uppvisar ettmer riskfyllt beteende på aktiemarknaden. LÄS MER
5. Extraction of Global Features for enhancing Machine Learning Performance
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Data Science plays an essential role in many organizations and industries to become data-driven in their decision-making and workflow, as models can provide relevant input in areas such as social media, the stock market, and manufacturing industries. To train models of quality, data preparation methods such as feature extraction are used to extract relevant features. LÄS MER