Abstract

Making Questions and Answers (QA) with large data and a broad context of problems can cause the desired document to sometimes be irrelevant. QA in terms of religious-social issues have a broad context, so they need to be firstly introduced to the topic. However, the questions raised in the Questions and Answers problem have short text criteria that must be correctly identified by the topic according to the relevant answers. In this paper, we proposed topic modeling for questions and answers with improved term weighting in special words in religious-social problems. The process consisted of preprocessing, making improved dictionary and modeling topic based on dictionary. The result obtained was in the form of topics from input short text which assisted in taking relevant topics, so that correct answers to the questions were obtained.

Original languageEnglish
Title of host publicationProceedings of 2019 International Conference on Information and Communication Technology and Systems, ICTS 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages219-223
Number of pages5
ISBN (Electronic)9781728121338
DOIs
Publication statusPublished - Jul 2019
Event12th International Conference on Information and Communication Technology and Systems, ICTS 2019 - Surabaya, Indonesia
Duration: 18 Jul 2019 → …

Publication series

NameProceedings of 2019 International Conference on Information and Communication Technology and Systems, ICTS 2019

Conference

Conference12th International Conference on Information and Communication Technology and Systems, ICTS 2019
Country/TerritoryIndonesia
CitySurabaya
Period18/07/19 → …

Keywords

  • Dictionary
  • Religious-social problem
  • Term Weighting
  • Topic Modelling

Fingerprint

Dive into the research topics of 'Enhanced topic modelling using dictionary for questions and answers problem'. Together they form a unique fingerprint.

Cite this