Sökning: "Sentiment Lexicon"

Visar resultat 1 - 5 av 25 uppsatser innehållade orden Sentiment Lexicon.

  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 Analysis Of IMDB Movie Reviews : A comparative study of Lexicon based approach and BERT Neural Network model

    Kandidat-uppsats, Blekinge Tekniska Högskola/Institutionen för datavetenskap

    Författare :Prashuna Sai Surya Vishwitha Domadula; Sai Sumanwita Sayyaparaju; [2023]
    Nyckelord :Bag of Words BoW ; Deep Learning; IMDb Movie Reviews; Machine Learning; Natural Language Processing NLP ; Sentiment Analysis; Term Frequency- Inverse Document Frequency TF-IDF .;

    Sammanfattning : Background: Movies have become an important marketing and advertising tool that can influence consumer behaviour and trends. Reading film reviews is an im- important part of watching a movie, as it can help viewers gain a general under- standing of the film. And also, provide filmmakers with feedback on how their work is being received. LÄS MER

  7. 5. "I'm afraid World War Three is inevitable" : A Critical Discourse Analysis of German Social Media Comments on the Russo-Ukraine War

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

    Författare :Astrid Winiker; [2023]
    Nyckelord :Social Media; Discourse; Russo-Ukraine War; Stereotypes; Sentiment; Prejudice; Russophobia; Refugees;

    Sammanfattning : This thesis presents a critical discourse analysis (CDA) of comments about the Russo- Ukraine war on Facebook and Instagram from February 2022 until March 2023 and points out topics that are dominantly discussed and stereotypes that are used in connection to the war. For this, critical discourse analysis (CDA) was employed as analytical framework and method (Fairclough, 2010). LÄS MER