2 research outputs found
Bibliometric analysis of genetic variations in schizophrenia
Get PDFSchizophrenia is a complex neuropsychiatric disorder with significant genetic variation as an aetiology. This study aimed to explore genetic variation-related research in schizophrenia from a bibliometric perspective. A systematic search was conducted using the Scopus database to identify literature related to schizophrenia and genetic variation published between 2014 and December 17, 2023. The bibliometric data were analyzed using software such as biblioMagika®, Biblioshiny, and VOSviewer. A total of 344 publications were retrieved, showing a growth in the number of publications and citations over time, with the United States (US) having the highest number of publications at 121. Analysis of co-authorship by country also highlighted the US as the leading contributor. Michael Conlon O’Donovan was recognized as the most dominant author in the field. The Schizophrenia Research journal was found to be the most productive. Keyword analysis across different clusters identified significant research directions in schizophrenia, emphasizing treatment efficacy and the interaction of genetic and environmental factors. These findings provide a comprehensive perspective on the broader landscape of this research topi
Malaysian fibre internet service provider: a naïve Bayes classification Twitter sentiment analysis
Get PDFIn the highly competitive landscape of Malaysian internet service providers (ISPs), users seek efficient ways to assess service quality. While various websites allow visual comparisons of fiber ISPs, a direct side-by-side evaluation remains elusive. A survey of 101 respondents revealed that 92.1% found researching a company’s reputation time-consuming. Additionally, relying on English-centric online ratings may lead to skewed outcomes, disregarding reviews in diverse languages. In response, we developed a web-based dashboard utilizing Twitter sentiment analysis (SA) and the naïve Bayes (NB) algorithm to classify Malaysia’s best fiber ISPs. The SA focused on four key factors: package price, internet speed, coverage area, and customer service, simplifying the comparison process. The system’s usability and functionality tests showed that both the English and Malay models could classify scraped Twitter data with an accuracy of 80%. The system’s remarkable usability score of 94.58% on the system usability scale (SUS) confirms its acceptability and excellent performance in achieving research goals
