Sökning: "twitter sentiment"
Visar resultat 1 - 5 av 94 uppsatser innehållade orden twitter sentiment.
1. Exploration of using Twitter data to predict Swedish political opinion polls with neural networks
Master-uppsats, Lunds universitet/Matematisk statistikSammanfattning : 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
2. Optimizing Lexicon-Based Sentiment Analysis for COVID-19 Twitter : Interactions in Health Contexts
Kandidat-uppsats, Linnéuniversitetet/Institutionen för datavetenskap och medieteknik (DM)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
3. Twitter Sentiment Analysis on the Cryptocurrency Market
Magister-uppsats,Sammanfattning : .... LÄS MER
4. The Influence of Controversial Protest Actions by Activist Groups on the Online Climate Debate : A Case Study on the Climate Debate on Twitter in Germany Related to the German Activist Group the Last Generation in Comparison to Fridays for Future Germany
Magister-uppsats, Malmö universitet/Institutionen för konst, kultur och kommunikation (K3)Sammanfattning : In Germany, the Last Generation emerged as a new climate activist group at the end of 2021. The group is considered rather controversial due to their contested protest actions of for instance vandalizing artwork. LÄS MER
5. Big Data Analytics Using Apache Flink for Cybercrime Forensics on X (formerly known as Twitter)
Magister-uppsats, Högskolan i Halmstad/Akademin för informationsteknologiSammanfattning : The exponential growth of social media usage has led to massive data sharing, posing challenges for traditional systems in managing and analyzing such vast amounts of data. This surge in data exchange has also resulted in an increase in cyber threats from individuals and criminal groups. LÄS MER