You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
We struggled to get the results as described in the audit of Exercise 7. After a lot of trial and error we discovered that we get the exact audit results ONLY when we ignore the task instructions.
The instructions say:
Steps:
Preprocess the data using the function implemented earlier. Then, use CountVectorizer from scikit-learn with max_features=500 to compute the word count of the tweets. The output is a sparse matrix.
We could get the expected audit results for Question 1, 2 and 3 when we skip preprocessing completely and feed the raw data from the given file into the CountVectorizer. Most probably this is not the intended solution. Please re-check the audit.
The text was updated successfully, but these errors were encountered:
nlp
We struggled to get the results as described in the audit of Exercise 7. After a lot of trial and error we discovered that we get the exact audit results ONLY when we ignore the task instructions.
The instructions say:
We could get the expected audit results for Question 1, 2 and 3 when we skip preprocessing completely and feed the raw data from the given file into the CountVectorizer. Most probably this is not the intended solution. Please re-check the audit.
The text was updated successfully, but these errors were encountered: