Text Classification

Text Classification

University

5 Qs

quiz-placeholder

Similar activities

POST TES WORKSHOP ONLINE PORMIKI DPD ACEH

POST TES WORKSHOP ONLINE PORMIKI DPD ACEH

1st Grade - University

10 Qs

Intelligent quiz

Intelligent quiz

KG - Professional Development

8 Qs

Fundamentals of IP

Fundamentals of IP

University

7 Qs

IMCI

IMCI

University

10 Qs

Hepatic Clearance quiz

Hepatic Clearance quiz

University

6 Qs

Quiz Pemrosesan Citra 10

Quiz Pemrosesan Citra 10

University

10 Qs

Data Mining Quiz

Data Mining Quiz

University

10 Qs

K-Nearest Neighbors Quiz

K-Nearest Neighbors Quiz

University

10 Qs

Text Classification

Text Classification

Assessment

Quiz

Other

University

Easy

Created by

widya aulia

Used 1+ times

FREE Resource

5 questions

Show all answers

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