Systematic Literature Review of Text Feature Extraction
Text data has essential information in it depending on a party who can process the data. Text feature extraction techniques have opened various ways to carry out the analysis process from structured to unstructured data. Based on the development of text extraction, which is widely used today. T...
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Format: | Other |
Language: | English |
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2022 7th International Conference on Informatics and Computing, ICIC 2022
2022
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Online Access: | https://repository.ugm.ac.id/284341/1/183.Systematic_Literature_Review_of_Text_Feature_Extraction.pdf |
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author | Mulyanto, Agus Hartati, Sri Wardoyo, Retantyo |
author_facet | Mulyanto, Agus Hartati, Sri Wardoyo, Retantyo |
author_sort | Mulyanto, Agus |
collection | UGM |
description | Text data has essential information in it
depending on a party who can process the data. Text feature
extraction techniques have opened various ways to carry out the
analysis process from structured to unstructured data. Based on
the development of text extraction, which is widely used today.
This Systematic Literature Review (SLR) paper analyzes the
methods widely used in current text extraction research studies.
Writing this SLR implements the PICOC method. Trends in
previous studies regarding text extraction have been analyzed in
this study. The total publications used are 23 articles that have
been carefully observed in a systematic literature review to
answer the research questions that have been formulated |
first_indexed | 2024-03-14T00:10:05Z |
format | Other |
id | oai:generic.eprints.org:284341 |
institution | Universiti Gadjah Mada |
language | English |
last_indexed | 2024-03-14T00:10:05Z |
publishDate | 2022 |
publisher | 2022 7th International Conference on Informatics and Computing, ICIC 2022 |
record_format | dspace |
spelling | oai:generic.eprints.org:2843412023-12-14T03:26:33Z https://repository.ugm.ac.id/284341/ Systematic Literature Review of Text Feature Extraction Mulyanto, Agus Hartati, Sri Wardoyo, Retantyo Information and Computing Sciences Text data has essential information in it depending on a party who can process the data. Text feature extraction techniques have opened various ways to carry out the analysis process from structured to unstructured data. Based on the development of text extraction, which is widely used today. This Systematic Literature Review (SLR) paper analyzes the methods widely used in current text extraction research studies. Writing this SLR implements the PICOC method. Trends in previous studies regarding text extraction have been analyzed in this study. The total publications used are 23 articles that have been carefully observed in a systematic literature review to answer the research questions that have been formulated 2022 7th International Conference on Informatics and Computing, ICIC 2022 2022 Other NonPeerReviewed application/pdf en https://repository.ugm.ac.id/284341/1/183.Systematic_Literature_Review_of_Text_Feature_Extraction.pdf Mulyanto, Agus and Hartati, Sri and Wardoyo, Retantyo (2022) Systematic Literature Review of Text Feature Extraction. 2022 7th International Conference on Informatics and Computing, ICIC 2022. https://ieeexplore.ieee.org/document/10007007 10.1109/ICIC56845.2022.10007007 |
spellingShingle | Information and Computing Sciences Mulyanto, Agus Hartati, Sri Wardoyo, Retantyo Systematic Literature Review of Text Feature Extraction |
title | Systematic Literature Review of Text Feature Extraction |
title_full | Systematic Literature Review of Text Feature Extraction |
title_fullStr | Systematic Literature Review of Text Feature Extraction |
title_full_unstemmed | Systematic Literature Review of Text Feature Extraction |
title_short | Systematic Literature Review of Text Feature Extraction |
title_sort | systematic literature review of text feature extraction |
topic | Information and Computing Sciences |
url | https://repository.ugm.ac.id/284341/1/183.Systematic_Literature_Review_of_Text_Feature_Extraction.pdf |
work_keys_str_mv | AT mulyantoagus systematicliteraturereviewoftextfeatureextraction AT hartatisri systematicliteraturereviewoftextfeatureextraction AT wardoyoretantyo systematicliteraturereviewoftextfeatureextraction |