Sökning: "Lexicon-based techniques"

Visar resultat 1 - 5 av 7 uppsatser innehållade orden Lexicon-based techniques.

  1. 1. Exploration of using Twitter data to predict Swedish political opinion polls with neural networks

    Master-uppsats, Lunds universitet/Matematisk statistik

    Författare :Alexander Gren; Klara Lundgren; [2023]
    Nyckelord :Mathematics and Statistics;

    Sammanfattning : This thesis aims to explore the possibility of using deep learning techniques to mine opinions on Twitter, with the objective to predict the political opinion distribution in Sweden. Different methods of gathering and annotating training data are evaluated to achieve accurate and reliable predictions. 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. 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

  5. 4. Sentiment building from textual data content in quarterly reports

    Magister-uppsats, Lunds universitet/Nationalekonomiska institutionen

    Författare :Tarek Jelassi; [2021]
    Nyckelord :Textual analysis; Python Programming Language; Modeling; Return Forecast; Sentiment building.; Business and Economics;

    Sammanfattning : Textual analysis is increasingly becoming a reliable tool for pattern assessing and forecasting especially statistically. Implementing such techniques in the financial field is still in an infantry stage and it represents a novel research area. LÄS MER

  7. 5. An Automated Digital Analysis of Depictions of Child Maltreatment in Ancient Roman Writings

    Magister-uppsats, Uppsala universitet/Teologiska institutionen

    Författare :Alexander Browne; [2019]
    Nyckelord :digital humanities; child maltreatment; ancient rome; christianity; sentiment analysis; naive bayes;

    Sammanfattning : Historians, mostly engaging with written evidence, have argued that the Christianisation of the Roman Empire resulted in changes in both attitudes and behaviour towards children, resulting in a decrease in their maltreatment by society. I begin with a working hypothesis that this attitude-change was real and resulted in a reduction in the maltreatment of children; and that this reduction in maltreatment is evident in the literature. LÄS MER