Session 10

🔨 Advanced Methods: Sentiment Analysis

Participate

🖥️ Session 10

Useful packages

• quanteda 🌐 |
  Benoit, K., Watanabe, K., Wang, H., Nulty, P., Obeng, A., Müller, S., & Matsuo, A. (2018). Quanteda: An r package for the quantitative analysis of textual data. Journal of Open Source Software, 3(30), 774. https://doi.org/10.21105/joss.00774

• quanteda.sentiment

• tidymodels 🌐 |
  Kuhn, M., & Wickham, H. (2020). Tidymodels: A collection of packages for modeling and machine learning using tidyverse principles. https://www.tidymodels.org

• ellmer 🌐 |
  Wickham, H., & Cheng, J. (2024). Ellmer: Chat with large language models. https://ellmer.tidyverse.org

• rollama 🌐 |
  Gruber, J. B., & Weber, M. (2024). Rollama: Communicate with ’ollama’. https://jbgruber.github.io/rollama/

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