Sökning: "vader"

Visar resultat 1 - 5 av 45 uppsatser innehållade ordet vader.

  1. 1. Comparison of VADER and Pre-Trained RoBERTa: A Sentiment Analysis Application

    Kandidat-uppsats, Lunds universitet/Statistiska institutionen

    Författare :Linda Erwe; Xin Wang; [2024]
    Nyckelord :sentiment analysis; natural language processing; BERT; VADER; sustainability report; Mathematics and Statistics;

    Sammanfattning : Purpose: The purpose of this study is to examine how the overall sentiment results from VADER and a pre-trained RoBERTa model differ. The study investigates potential differences in terms of the median and shape of the two distributions. Data: The sustainability reports of 50 independent random companies are selected as the sample. LÄS MER

  3. 2. Optimizing Lexicon-Based Sentiment Analysis for COVID-19 Twitter : Interactions in Health Contexts

    Kandidat-uppsats, Linnéuniversitetet/Institutionen för datavetenskap och medieteknik (DM)

    Författare :Jafari Ramin; [2023]
    Nyckelord :Sentiment analysis; COVID-19 pandemic; Twitter; Lexicon-based techniques; VADER algorithm;

    Sammanfattning : During the COVID-19 pandemic, the surge in social media usage has elevated interestin sentiment analysis, especially for health-related applications. This bachelor thesisexplores the effectiveness of two lexicon-based sentiment analysis techniques, with afocus on enhancing the accuracy of the Valence Aware Dictionary for SentimentReasoning (VADER) algorithm. LÄS MER

  4. 3. Understanding Sales Performance Using Natural Language Processing - An experimental study evaluating rule-based algorithms in a B2B setting

    Master-uppsats, Stockholms universitet/Institutionen för data- och systemvetenskap

    Författare :Angelica Smedberg; [2023]
    Nyckelord :NLP; Sentiment Analysis; Ruled-based algorithms; TextBlob; VADER; Naïve Bayes; Machine Learning;

    Sammanfattning : Natural Language Processing (NLP) is a branch in data science that marries artificial intelligence with linguistics. Essentially, it tries to program computers to understand human language, both spoken and written. Over the past decade, researchers have applied novel algorithms to gain a better understanding of human sentiment. LÄS MER

  5. 4. Sentiment Analysis for Swedish : The Impact of Emojis on Sentiment Analysis of Swedish Informal Texts

    Master-uppsats, Umeå universitet/Institutionen för datavetenskap

    Författare :Lovisa Berggren; [2023]
    Nyckelord :sentiment analysis; NLP; natural language processing; emojis; swedish;

    Sammanfattning : This study investigates the use of emojis in sentiment analysis for the Swedish language, with the objective to assess if emojis improve the performance of the model. Sentiment analysis is an NLP classification task aimed at extracting people's opinions, sentiments, and attitudes from language. 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