Bing tidy polarity: Call me Ishmael (with ggplot2)!

The last Bing lexicon exercise! In this exercise you will use the pipe operator (%>%) to create a timeline of the sentiment in Moby Dick. In the end you will also create a simple visual following the code structure below. The next chapter goes into more depth for visuals.

ggplot(spread_data, aes(index_column, polarity_column)) +
  geom_smooth()

Inner join moby to the bing lexicon.
- Call inner_join() to join the tibbles.
- Join by the term column in the text and the word column in the lexicon.
Count by sentiment and index.
Reshape so that each sentiment has its own column.
- Call spread().
- The key column (to split into multiple columns) is sentiment.
- The value column (containing the counts) is n.
- Also specify fill = 0 to fill out missing values with a zero.
Use mutate() to add the polarity column. Define it as the difference between the positive and negative columns.

Take Hint (-22 XP)

Exercise

Bing tidy polarity: Call me Ishmael (with ggplot2)!

Instructions 1/2