Sökning: "news sentiment"

Visar resultat 1 - 5 av 47 uppsatser innehållade orden news sentiment.

  1. 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 School

    Författare :Luis Felipe Villota Macias; [2024]
    Nyckelord :Agonistic peace; antagonism; big data analytics; binary logistic regression; computational content analysis; Colombia; Colombian peace process; discord; Facebook; machine learning; peace process; public opinion and sentiment; social media; Law and Political Science; Social Sciences;

    Sammanfattning : 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

  3. 2. Deep Learning Based Sentiment Analysis

    Master-uppsats, Blekinge Tekniska Högskola/Institutionen för datavetenskap

    Författare :Shashank Kalluri; [2023]
    Nyckelord :Sentiment Analysis; Word Embedding; Deep Learning;

    Sammanfattning : 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

  4. 3. Media Representations of Doping in Sports : An Analysis of How Media Frames Men and Women in Doping Scandals

    Magister-uppsats, Malmö universitet/Institutionen för konst, kultur och kommunikation (K3)

    Författare :Carolina Guglielmetti; [2023]
    Nyckelord :doping; framing; media representation; Lance Armstrong; Marion Jones; performance-enhancing drugs;

    Sammanfattning : In this thesis we delve into the profile doping scandals involving Marion Jones and Lance Armstrong. Our aim is to analyze how the online news media portray doping allegations in sports specifically on these two athletes. LÄS MER

  5. 4. Sentiment-Driven Cryptocurrency Price Prediction : A Comparative Analysis of AI Models

    Kandidat-uppsats, Blekinge Tekniska Högskola/Institutionen för datavetenskap

    Författare :Jammithri Kotapati; Suma Vendrapu; [2023]
    Nyckelord :Artificial Intelligence; Cryptocurrency Prices; News Articles; Sentiment Analysis; Social Media Posts. ii;

    Sammanfattning : Background: In the last few years, there has been rapid growth in the use of cryptocurrency, as it is a form of digital currency and was developed using blockchain technology, so it is almost impossible to counterfeit cryptocurrency. Due to these features, it has attracted a lot of popularity and attention in the market. LÄS MER

  7. 5. Machine Learning Based Stock Price Prediction by Integrating ARIMA model and Sentiment Analysis with Insights from News and Information

    Kandidat-uppsats, Blekinge Tekniska Högskola/Institutionen för datavetenskap

    Författare :Teja Sai Vaibhav Boppana; Joseph Sudheer Vinakonda; [2023]
    Nyckelord :Machine Learning; Market Trends; News; Headlines Stock Price Prediction; VADER.;

    Sammanfattning : Background: Predicting stock prices in today’s complex financial landscape is asignificant challenge. An innovative approach to address this challenge is integrating sentiment analysis techniques with the well-established Autoregressive IntegratedMoving Average (ARIMA) model. LÄS MER