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Full-Text Articles in Physical Sciences and Mathematics
Sentiment Analysis Before And During The Covid-19 Pandemic, Emily Musgrove
Sentiment Analysis Before And During The Covid-19 Pandemic, Emily Musgrove
Mathematics Summer Fellows
This study examines the change in connotative language use before and during the Covid-19 pandemic. By analyzing news articles from several major US newspapers, we found that there is a statistically significant correlation between the sentiment of the text and the publication period. Specifically, we document a large, systematic, and statistically significant decline in the overall sentiment of articles published in major news outlets. While our results do not directly gauge the sentiment of the population, our findings have important implications regarding the social responsibility of journalists and media outlets especially in times of crisis.
Empirical Methods-A Review: With An Introduction To Data Mining And Machine Learning, Matt Bogard
Empirical Methods-A Review: With An Introduction To Data Mining And Machine Learning, Matt Bogard
Economics Faculty Publications
This presentation was part of a staff workshop focused on empirical methods and applied research. This includes a basic overview of regression with matrix algebra, maximum likelihood, inference, and model assumptions. Distinctions are made between paradigms related to classical statistical methods and algorithmic approaches. The presentation concludes with a brief discussion of generalization error, data partitioning, decision trees, and neural networks.
Using Twitter To Demonstrate Basic Concepts From Network Analysis, Matt Bogard
Using Twitter To Demonstrate Basic Concepts From Network Analysis, Matt Bogard
Economics Faculty Publications
Social network analysis focuses on finding patterns in interactions between people or entities. These patterns may be described in the form of a network. Network analysis in general has many applications including models of student integration and persistence, business to business supply chains, terrorist cells, or analysis of social media such as Facebook and Twitter. This presentation provides a reference for basic concepts from social network analysis with examples using tweets from Twitter.