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Text Classification

Authored by widya aulia

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University

Used 1+ times

Text Classification
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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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