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Detecting Controversial Articles On Citizen Journalism
Sharon Raissa Herdiyana
, Mirna Adriani
,
Alfan Farizki Wicaksono
Department of Computer Science
Research output
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Contribution to journal
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Article
›
peer-review
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Keyphrases
Citizen Journalism
100%
Classification Task
33%
Controversial Articles
100%
Controversial Issues
33%
Daily News
33%
Handcrafted Features
33%
Linguistic Information
33%
Logistic Regression
33%
Structural Features
33%
Structural Information
33%
Supervised Machine Learning
33%
Computer Science
Citizen Journalism
100%
Classification Task
50%
Experimental Result
50%
Logistic Regression
50%
Machine Learning Approach
50%
Metadata Information
50%
Structural Feature
50%
Arts and Humanities
Cataloguing
50%
Experimental
50%
Journalism
100%
Linguistics
50%
Sentiment
50%