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.
Este ejercicio forma parte del curso
Feature Engineering for Machine Learning in Python
Instrucciones del ejercicio
- 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.
Ejercicio interactivo práctico
Prueba este ejercicio completando el código de muestra.
# Isolate the row to be examined
sample_row = tv_df.____
# Print the top 5 words of the sorted output
print(sample_row.____(ascending=____).____())