Dictionary-Based Text Analysis

In this video, Professor Chris Bail of Duke University introduces dictionary-based text analysis methods, and discusses the tradeoffs of different lexicons for studying human behavior and computational social science. Link to slides: https://compsocialscience.github.io/summer-institute/2020/materials/day3-text-analysis/dictionary-methods/Rpres/Dictionary_Based_Analysis.html Links to more content discussed in this video are posted below. Link to the annotated code: https://github.com/compsocialscience/summer-institute/blob/master/2020/materials/day3-text-analysis/dictionary-methods/rmarkdown/Dictionary-Based_Text_Analysis.Rmd Link to articles and websites discussed in this video: 1. Experimental evidence of massive-scale emotional contagion through social networks: https://www.pnas.org/content/111/24/8788 2. Diurnal and Seasonal Mood Vary with Work, Sleep, and Daylength Across Diverse Cultures: https://science.sciencemag.org/content/333/6051/1878/ 3. Channeling Hearts and Minds: Advocacy Organizations, Cognitive-Emotional Currents, and Public Conversation: https://journals.sagepub.com/doi/full/10.1177/0003122417733673 4. Comparing and combining sentiment analysis methods: https://dl.acm.org/doi/abs/10.1145/2512938.2512951 5. SentiBench - a benchmark comparison of state-of-the-practice sentiment analysis methods: https://link.springer.com/content/pdf/10.1140/epjds/s13688-016-0085-1.pdf