
Text Classification
Authored by widya aulia
Other
University
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5 questions
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1.
MULTIPLE CHOICE QUESTION
30 sec • 20 pts
What is text classification ?
Method to cluster text
Method to convert token to number
Method to classify text based on its label
Method that adapt how humans learn
2.
MULTIPLE CHOICE QUESTION
30 sec • 20 pts
Feature extraction also called by ?
Vectorization
Classification
Feature generation
Vector reduction
3.
MULTIPLE CHOICE QUESTION
30 sec • 20 pts
How does the workflow of Text Classification ?
preprocessing, feature generation, classification model, evaluation
preprocessing, feature extraction, vectorization, classification,evaluation
preprocessing, sentence splitter, feature extraction, evaluation
preprocessing, feature extraction, model classification, evaluation
4.
MULTIPLE CHOICE QUESTION
30 sec • 20 pts
The following are models that can be used for classification, except...
Naive Bayes
SVM
Mulitnomial Naive bayes
Word2Vec
5.
MULTIPLE CHOICE QUESTION
30 sec • 20 pts
Which of the following is a limitation of Naive Bayes?
simple to calculate
Performance is poor for small data.
Fast computing
Effective on Small Data
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