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Authors
Affiliations
1 Business School, University of Kashmir, Srinagar, Jammu and Kashmir, IN
Source
Artificial Intelligent Systems and Machine Learning, Vol 8, No 2 (2016), Pagination: 71-77
Abstract
Everyday academic, economic, business and social activities lead to generation of huge amount of new data and information. This content of data which is predicted to increase at enormous rate each year has significant value be it societal or economic. The automatic detection of similarity between texts and the determination of relevance of documents relative to a certain query is therefore essential to exploit the potential of this enormous amount of data available. Text-Mining is the technique that is used to automatically discover and extract information/knowledge from the huge volume of semi-structured or unstructured data. Keeping in view the importance of Text-Mining, this paper discusses the concept of Text-Mining and also provides a framework to form the step by step model of Textual Data Mining. It also discusses tools of Text Mining as well as its applications and limitation.
Keywords
Textual Data Mining (TDM), Data Mining (DM), Natural Language Processing (NLP), Information Extraction (IE), Information Retrieval (IR), Data Warehouse (DW), Intermediate Form (IF).
