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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Main Authors: Mulyanto, Agus, Hartati, Sri, Wardoyo, Retantyo
Format: Other
Language:English
Published: 2022 7th International Conference on Informatics and Computing, ICIC 2022 2022
Subjects:
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
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institution Universiti Gadjah Mada
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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
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