Sökning: "sentiment score"

Visar resultat 6 - 10 av 35 uppsatser innehållade orden sentiment score.

  1. 6. Predicting Stock Market Movement Using Machine Learning : Through r/wallstreetbets sentiment & Google Trends, Herding versus Wisdom of Crowds

    Kandidat-uppsats, Uppsala universitet/Företagsekonomiska institutionen

    Författare :Niklas Norinder; [2022]
    Nyckelord :Sentiment Analysis; Machine Learning; Stock Movement Prediction; r wallstreetbets; Google Trends;

    Sammanfattning : Stock market analysis is a hot-button topic, especially with the growth of online communities surrounding trading and investment. The goal of this paper is to examine the sentiment of r/wallstreetbets and the Google Trends score for a number of stocks – and then understanding whether the herding nature of investors on r/wallstreetbets is better at predicting the movement of the stock market than the WOC nature of Google Trends scores. LÄS MER

  3. 7. Sentiment analysis as a complementing tool to corporate sustainability assessment : An explorative study

    Master-uppsats, KTH/Skolan för industriell teknik och management (ITM)

    Författare :Lisa Johansson; [2022]
    Nyckelord :Sentiment analysis; ESG scores; sustainable companies; sustainable investing; ESG investing; Sentiment analys; ESG-poäng; hållbara företag; hållbar investering; ESG investering;

    Sammanfattning : Companies play an important role in the process of sustainable development, and thus investors have increased their focus on companies' sustainability-related activities. These activities are often measured through ESG scores, which mostly are based on biased documents reported by the companies themselves. LÄS MER

  4. 8. Sentiment Classification of Amazon Product Reviews

    Master-uppsats, Uppsala universitet/Statistiska institutionen

    Författare :Jakob Leth; [2022]
    Nyckelord :;

    Sammanfattning : Opinions and attitudes expressed online contain information useful to companies and organizations. By using machine learning and statistical models automated ways of understanding online behavior can be implemented. LÄS MER

  5. 9. Exploration of Knowledge Distillation Methods on Transformer Language Models for Sentiment Analysis

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

    Författare :Haonan Liu; [2022]
    Nyckelord :Natural Language Processing; Sentiment Analysis; Language Model; Transformers; Knowledge Distillation; Behandling av Naturligt Språk; Analys av Känslor; Språkmodell; Omvandlare; Kunskapsdestillation;

    Sammanfattning : Despite the outstanding performances of the large Transformer-based language models, it proposes a challenge to compress the models and put them into the industrial environment. This degree project explores model compression methods called knowledge distillation in the sentiment classification task on Transformer models. LÄS MER

  7. 10. Data Analysis of Discussions, Regarding Common Vulnerabilities and Exposures, and their Sentiment on Social Media

    Kandidat-uppsats, Linköpings universitet/Institutionen för datavetenskap

    Författare :Mustafa Rahmati; Danijel Grujicic; [2022]
    Nyckelord :Social media; Reddit; Twitter; sentiment analysis; computer science; information technology; CVE; information security; CVSS score; Flair; Vader; TextBlob; API; data collection; web scraper; data analysis; natural language processing; NLP; information retrieval;

    Sammanfattning : As common vulnerabilites and exposures are detected, they are also discussed in various social platforms. The problem is that only a few of the posts made about them, are getting enough attention. This leads to an unawareness of potential and critical threats against systems. LÄS MER