A Systematic Literature Review on Big Data Extraction, Transformation and Loading (ETL)Data analytics plays a vital role in contemporary organizations, through analytics, organizations are able to derive knowledge and intelligence from data to support strategic decisions. An important step in data ...
Data extraction The data extraction process entails gathering relevant information from the chosen primary studies to address the research questions. To facilitate this process, we have created a dedicated data extraction form, as shown in Table1. As suggested in Kitchenham and Charters, we used th...
model is still the most capable and performs with significantly better outcomes, this demonstrates that alternative models are also capable of data extraction, and their accuracy is likely to improve as they catch up to the state-of-the-art. It is worth noting that although the method and the...
Table 4. Data extraction. 2.2.3. Information Synthesis At this stage, the extracted data were aggregated to answer the research questions. For our research questions, we used the narrative synthesis method. Accordingly, we used tables and charts to present our results. 2.3. Report Review Data...
Data Extraction – Define Data Source (Page 2 of 8). View chapterExplore book Can network analysis ascertain SDGs interlinkages towards evidence-based policy planning? A systematic critical assessment Lea Issa, ... Mutasem El Fadel, in Environmental Impact Assessment Review, 2024 4.1 Data sources ...
A combination or singled-out element from the data extraction form discussed in the previous section can be used to answer all of the five research questions. We aimed to answer RQ-1, RQ-3, and RQ-4 qualitatively while discussing RQ-2 and RQ-5 quantitatively and qualitatively in the next...
Data extraction and analysis We identified and screened a total of 3,205 citations and abstracts through the electronic database searches and manual review of articles and bibliographies (Figure 1). After reviewing titles and abstracts, we excluded 2,714 studies that did not meet our criteria. ...
Open AccessReview by Helen O’Brien Quinn 1,*, Mohamed Sedky 1, Janet Francis 1and Michael Streeton 2 1 Department of Digital, Tech, Innovation & Business Staffordshire University, College Road, Stoke on Trent ST4 2DE, UK 2 Connexica Ltd., Unit D, Dyson Court, Dyson Way, Stafford Techno...
Out-of-the-box support for Named Entity Recognition, Classification, Relation extraction and Assertion Status Spark NLP models. Unlimited support for users, teams, projects, documents. nlp-toolkit for node.js This module covers some basic nlp principles and implementations. The main focus is ...
similar structure and possesses a robust semantic correlation, with the information extracted from an SG corresponding to a data table or a subset of relevant fields within a table. Semantic analysis and information extraction are conducted on an SG-by-SG basis during the information extraction ...