preview

Advantages And Differences Between Text Mining And Text Mining

Decent Essays
Open Document

Get, convert and load exchange data on to the data warehouse system.
(2) Store and control the data into multidimensional database system (3) Provide data access to information technology professionals and businesses experts. (4) Analyze the data by program software.
(5) Provide the data in a useful structure, like a graph or chart or table [12].

1.1 Text mining: Text mining can be called as text data mining, which is roughly equal to text analytics; text mining is used for deriving high-quality information from text documents and to disclose the unseen meanings. Text mining is more complicated task as compared to data mining because text mining deals with text data, which can be unstructured as well as fuzzy where as data mining is the procedure of extracting information from huge sets of data. Text mining also is called as Text Data Mining (TDM) and Knowledge Discovery in Textual Database (KDT) …show more content…

As probably the most natural type of storing information is text and text mining is believed to have a commercial potential greater than that of data mining. The recent study indicated that 80% of a company’s information is including in text documents. Text mining, however, is also a more complex task as compare to data mining as it involves dealing with text data that are naturally unstructured and fuzzy. Text mining is a multidisciplinary area, involving information retrieval, text examination, information extraction, clustering, categorization, visualization, database technology, device learning, and data mining [2]. In Text Mining, patterns are extracted from natural language Textual Database. There are many methods of text mining. In general, the major approaches, based on the kinds of data they take as input,

Get Access
Related
Get Access