Articles with "text analytics" as a keyword



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Practical text analytics: maximizing the value of text data

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Published in 2019 at "Journal of Statistical Computation and Simulation"

DOI: 10.1080/00949655.2019.1628899

Abstract: Mostly, statisticians and allied researchers resort to quantitative studies inwhich numerical data are involved. Lately, with the computer oriented professional life of the twenty-first century, researchers could easily practice text based analysis as it is… read more here.

Keywords: text analytics; analysis; book; text data ... See more keywords
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Proposing a systematic approach for integrating traditional research methods into machine learning in text analytics in tourism and hospitality

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Published in 2020 at "Current Issues in Tourism"

DOI: 10.1080/13683500.2020.1829568

Abstract: ABSTRACT This paper argues that the analysis of vast amounts of user-generated content, which are currently dominated by text analytics and machine learning, need more methodical incorporation of reliable traditional methodologies to facilitate deeper understanding… read more here.

Keywords: machine; text analytics; machine learning; traditional research ... See more keywords
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Visualizing stemming techniques on online news articles text analytics

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Published in 2021 at "Bulletin of Electrical Engineering and Informatics"

DOI: 10.11591/eei.v10i1.2504

Abstract: Stemming is the process to convert words into their root words by the stemming algorithm. It is one of the main processes in text analytics where the text data needs to go through stemming process… read more here.

Keywords: online news; stemming techniques; techniques online; text data ... See more keywords
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Data science for digital culture improvement in higher education using K-means clustering and text analytics

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Published in 2020 at "International Journal of Electrical and Computer Engineering"

DOI: 10.11591/ijece.v10i5.pp4569-4580

Abstract: This study aims to investigate the meaningful pattern that can be used to improve digital culture in higher education based on parameters of the technology acceptance model (TAM). The methodology used is the data mining… read more here.

Keywords: text analytics; information; higher education; digital culture ... See more keywords
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Bibliometric and Text Analytics Approaches to Review COVID-19 Impacts on Supply Chains

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Published in 2022 at "Sustainability"

DOI: 10.3390/su142315943

Abstract: The current COVID-19 pandemic has virtually disrupted supply chains worldwide. Thus, supply chain research has received significant attention. While the impacts have been immeasurable, organizations have realized the need to design strategies to overcome such… read more here.

Keywords: supply chains; supply; text analytics; research ... See more keywords