Teaching with a public-domain corpus | Helper: pick the fable (“Fox and the Grapes”) | Activity 1: “Guess the moral” from partial evidence | Instructor code: top words | Activity 2: “Methods as measurement” (lexicon comparison) | Bing sentiment counts | AFINN score summary | Identify sentiment-driving words (simple) | Activity 3: “Operational definitions” (what counts as a construct?) | Instructor code: create simple “dictionary” counts

What is aesopR? | The core datasets | aesops_fables | full texts and metadata | aesops_tokens | tidy word-level data | Find “The Fox and the Grapes” | Token-based exploration | Most common words in this fable | Sentiment datasets (no external downloads) | Bing sentiment: positive vs negative counts | AFINN sentiment: summary of scores | Where to go next

Why two lexicons? | Sentiment summaries across the entire corpus | Which fables are “most positive” or “most negative”? | Discussion prompts: | A story-driven deep dive: “The Fox and the Grapes” | Teaching note: | Extending to other lexicons (optional) | Example: using another tidytext lexicon (if available) | Wrap-up: methods takeaways