What is conceptual mining?
Concept mining is a process that focuses on the extraction of ideas and concepts found in documents. This approach is somewhat similar to text mining, and the main difference is that text mining focuses more on extraction than thoughts. The mining of concepts is useful in a number of applications, including the evaluation of software programs and in various applications that are generally classified as part of the discipline of artificial intelligence within computer science.
The use of concept mining can take place with any type of document, no matter how formatted. This strategy will work well with smaller documents, but is particularly effective with longer documents, because ideas can be extracted during the document. This is unlike the extraction of specific parts of the text, especially if the words listed in the extracted part could take different meanings based on the context of use. Because the mining of the concept is considering the text as a whole, the ability to obtain intention and meaning on the basis of the totalThe document flow increases.
Real application mining applications include the ability to scan more documents contained in the company database and apply to the basic concepts found in similar documents. This helps to achieve, is the ability of a large number of documents to be crossed in a way that is not possible using text mining or other forms of data mining. It is not unusual for companies to use this approach along with other strategies to ensure the most effective and comprehensive processes to access related documents with a minimum delay.
While the idea of mining of the concept has existed for decades, this process has become more important, because companies and institutions of all sizes and types rely more on electronic data rather than papers. For this purpose, it has also become more common development of software applications that can be adapted to allow the relationh different documents from the conceptual point of view. Most of these software programs are configured to allow a certain degree of intuitive activity as a means of identifying concepts found with the text and finding logical connections with other documents. When the mining of the concept is managed efficiently, this approach to the organization and searching of documents can significantly increase the ability to use the documents that stick to the warehouse and search for ideas and relevant task much faster and easier.