The Study of Text Mining and Knowledge Extraction (TAKE) for Textual Database

摘要

ZJn recent decades, Internet technology becoming a world of ICT (information and communication technology), it is universally adapting technology & expanding continuously into private, and public sector for better future life changes. As internet expanding, the amount of information increasing and get doubles in every 24 months. In shortest time, the user demand for reliable and useful information, but there are difficultly to fulfil such user demands due to language barrier, unclear specification for information and diversified users. It need to perform the searching and extraction process for exact knowledgeable information from the collection of natural language texts. Hence text mining becoming an important and hot research area. The text mining is a process of discovering the knowledge and patterns of data from previously unknown and unstructured data or new information from different resources of information by using technology of computers. In this paper, we are going to discuss Text mining And Knowledge Extraction (TAKE) in detail and its processes and application areas. The text mining is a type of data mining and it is a discovery of knowledge from textual database that extract interesting or non-retrieval knowledge from unstructured texts. The text mining techniques categorizes into the Information extraction, Clustering, Categorisation, Summarisation, Classification, and Visualization. Text mining Applications including marketing, business intelligence, research, media, publishing, healthcare, communications.