Insincere Question Classification on Question Answering Forum

Hendri Priyambowo, Mirna Adriani

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Citations (Scopus)

Abstract

Insincerity is defined as a word or action that is genuinely not felt by humans, has no meaning, or not based on sincere feelings. In the internet forum, especially question answering forum, insincerity is one of the severe problems because it can affect the quality of internet forums. Frequently found content (i.e., a message or post) which is not appropriate with the rules of the forum in general and can interfere with other users. Machine learning model will be implemented to detect the questions posed by users in the question answering forum. We examine six baseline machine learning models with n-gram, POS tag and word embedding features. The result of our experiment shows that Multilayer Perceptron model using POS tag features give us highest F1-Score, which is 87.81%.

Original languageEnglish
Title of host publicationProceeding of 2019 International Conference on Electrical Engineering and Informatics, ICEEI 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages390-394
Number of pages5
ISBN (Electronic)9781728124186
DOIs
Publication statusPublished - Jul 2019
Event7th International Conference on Electrical Engineering and Informatics, ICEEI 2019 - Bandung, Indonesia
Duration: 9 Jul 201910 Jul 2019

Publication series

NameProceedings of the International Conference on Electrical Engineering and Informatics
Volume2019-July
ISSN (Print)2155-6830

Conference

Conference7th International Conference on Electrical Engineering and Informatics, ICEEI 2019
CountryIndonesia
CityBandung
Period9/07/1910/07/19

Keywords

  • insincere
  • insincerity
  • machine learning
  • Quora

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