Inspecting Tf-idf values
After creating Tf-idf features you will often want to understand what are the most highest scored words for each corpus. This can be achieved by isolating the row you want to examine and then sorting the the scores from high to low.
The DataFrame from the last exercise (tv_df) is available in your workspace.
Diese Übung ist Teil des Kurses
Feature Engineering for Machine Learning in Python
Anleitung zur Übung
- Assign the first row of
tv_dftosample_row. sample_rowis now a series of weights assigned to words. Sort these values to print the top 5 highest-rated words.
Interaktive Übung
Vervollständige den Beispielcode, um diese Übung erfolgreich abzuschließen.
# Isolate the row to be examined
sample_row = tv_df.____
# Print the top 5 words of the sorted output
print(sample_row.____(ascending=____).____())