Plots terms that are more/less likely to appear in conversation across different topics.
calculate_wlos(df, topic_var, text_var = Message, top_n = 30)
| df | A dataframe. |
|---|---|
| topic_var | The variable that contains the topic label for each post. |
| text_var | The variable containing the text to be compared. |
| top_n | The maximum number of words to include for each topic in the visualisation. |
A table with weighted log-odds calculated for each word in each group, and a visualisation