Twitter Streaming and Analysis through R

Rani, V. Vasudha; Rani, K. Sandhya

doi:10.17485/ijst/2016/v9i45/97914

Cited by 6 publications

(4 citation statements)

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“…In addition, to extract the most discussed concepts from the selected publications and investigate the frequency of desired concepts in their text, the RStudio programming tool was used to collect publications and conduct a word frequency analysis with the help of the Natural Language Processing packages. For data collection and data mining, Rstudio was used due to its capabilities in the extraction of concepts and language processing analysis [ 30 ]. In this regard, two methods were mixed; first, top-quality publications were extracted, as explained in Sect.…”

Section: Methodsmentioning

confidence: 99%

“…were used along with some functions like tm_map, removewords, stopwords, stemdocumen, stemcompletion, termdocumentmatrix, documenttermmatrix, removepunctuation, removenumbers, stripwhitespace, etc. [ 30 , 31 ]. This way it is possible to conduct a thorough document analysis via Natural Language Processing tools that explore word and concept frequency and correlational relationships between a set of documents [ 30 , 31 ].…”

Section: Methodsmentioning

confidence: 99%

“…[ 30 , 31 ]. This way it is possible to conduct a thorough document analysis via Natural Language Processing tools that explore word and concept frequency and correlational relationships between a set of documents [ 30 , 31 ].…”

Section: Methodsmentioning

confidence: 99%

“…Ultimately, different visualization and exporting methods were used to export the analyzed data from Rstudio [ 30 ]. For this purpose, Text Mining, Latent Semantic Analysis, and wordcloud2 were used to extract the most frequent concepts and words from the pdf texts [ 31 , 32 ].…”

Section: Methodsmentioning

confidence: 99%

See 3 more Smart Citations

eHealth policy framework in Low and Lower Middle-Income Countries; a PRISMA systematic review and analysis

Mengiste

Antypas

Johannessen

et al. 2023

BMC Health Serv Res

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Background Low and lower middle-income countries suffer lack of healthcare providers and proper workforce education programs, a greater spread of illnesses, poor surveillance, efficient management, etc., which are addressable by a central policy framework implementation. Accordingly, an eHealth policy framework is required specifically for these countries to successfully implement eHealth solutions. This study explores existing frameworks and fills the gap by proposing an eHealth policy framework in the context of developing countries. Methods This PRISMA-based (PRISMA Preferred Reporting Items For Systematic Reviews and Meta-Analyses) systematic review used Google Scholar, IEEE, Web of Science, and PubMed latest on 23rd May 2022, explored 83 publications regarding eHealth policy frameworks, and extracted 11 publications scrutinizing eHealth policy frameworks in their title, abstract, or keywords. These publications were analyzed by using both expert opinion and Rstudio programming tools. They were explored based on their developing/developed countries’ context, research approach, main contribution, constructs/dimensions of the framework, and related categories. In addition, by using cloudword and latent semantic space techniques, the most discussed concepts and targeted keywords were explored and a correlation test was conducted to depict the important concepts mentioned in the related literature and extract their relation with the targeted keywords in the interest of this study. Results Most of these publications do not develop or synthesize new frameworks for eHealth policy implementation, but rather introduce eHealth implementation frameworks, explain policy dimensions, identify and extract relevant components of existing frameworks or point out legal or other relevant eHealth implementation issues. Conclusion After a thorough exploration of related literature, this study identified the main factors affecting an effective eHealth policy framework, found a gap in the context of developing countries, and proposed a four-step eHealth policy implementation guideline for successful implementation of eHealth in the context of developing. The limitation of this study is the lack of a proper amount of practically implemented eHealth policy framework cases in developing countries published in the literature for the review. Ultimately, this study is part of the BETTEReHEALTH (More information about the BETTEReHEALTH project at https://betterehealth.eu) project funded by the European Union Horizon’s 2020 under agreement number 101017450.

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Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%