Electronic Resource

Article - Development of Usability Enhancement Model for Unstructured Big Data Using SLR Volume 9 87404–87425

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Unstructured text contains valuable information for a range of enterprise applications and
informed decision making. Text analytics is used to extract valuable insights from unstructured big data.
Among the most significant challenges of text analytics, quality and usability are critical in affecting
the outcome of the analytical process. The enhancement in usability is important for the exploitation of
unstructured data. Most of the existing literature focuses on the usability of structured data as compared
to unstructured data whereas big data usability has been discussed merely in the context of its assessment.
The existing approaches do not provide proper guidelines on the usability enhancement of unstructured
data. In this study, a rigorous systematic literature review using PRISMA framework has been conducted
to develop a model enhancing the usability of unstructured data bridging the research gap. The recent
approaches and solutions for text analytics have been investigated thoroughly. The usability issues of
unstructured text data and their consequences on data preparation for analytics have been identified.
Defining the usability dimensions for unstructured big data, identification of the usability determinants,
and developing a relationship between usability dimension and determinants to derive usability rules are the
significant contributions of this research and are integrated to formulate the usability enhancement model.
The proposed model is the major outcome of the research. It contributes to make unstructured data usable
and facilitates the data preparation activities with more valuable data that eventually improve the analytical
process.

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Ketersediaan

Informasi Detail

Judul Seri

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No. Panggil

005.7 ADN d

Penerbit

: IEEE (Institute of Electrical and Electronics Engineers)., 2021

Deskripsi Fisik

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Bahasa

English

ISBN/ISSN

2169-3536

Klasifikasi

005.7 ADN d

Tipe Isi

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Tipe Media

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Tipe Pembawa

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Edisi

Volume 9 87404–87425

Subjek

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Info Detail Spesifik

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Pernyataan Tanggungjawab

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Versi lain/terkait

Lampiran Berkas

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