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Visualizing the document pre-processing effects in text mining process
(2018-01-01)
Text mining is an important step to categorize textual data by using data mining techniques. As most obtained textual data is unstructured, it needs to be processed before applying mining algorithms – that process is known ...
Target Data Projection in Multivariate Visualization – An Application to Mine Planning
(Springer Berlin / Heidelberg, 2008)
SimText: a text mining framework for interactive analysis and visualization of similarities among biomedical entities
(2021)
Literature exploration in PubMed on a large number of biomedical entities (e.g. genes, diseases or experiments) can be time-consuming and challenging, especially when assessing associations between entities. Here, we ...
Visual text mining: ensuring the presence of relevant studies in systematic literature reviews
(World Scientific PublishingSingapore, 2015)
One of the activities associated with the Systematic Literature Review (SLR) process is the
selection review of primary studies. When the researcher faces large volumes of primary studies
to be analyzed, the process used ...
Competitive intelligence in the service sector: a data visualization approach
This paper presents an alternative methodology for competitive
intelligence through data visualization. The paper evaluates the possibilities
offered by social media to collect data about the customer satisfaction with ...
Analysis of document pre-processing effects in text and opinion mining
(2018-04-20)
Typically, textual information is available as unstructured data, which require processing so that data mining algorithms can handle such data; this processing is known as the pre-processing step in the overall text mining ...
Visual approach to boundary detection of clusters projected in 2D space
(2018-01-01)
Data mining tasks are commonly employed to aid users in both dataset organization and classification. Clustering techniques are important tools among all data mining techniques because no class information is previously ...