Web-based Text Mining

Abstract

Text mining deals with retrieval of specific information provided by customer search engines. With the massive amount of information that is available on the World Wide Web, text mining provides results in the order of highest relevance to the key words in the query. Text expresses a vast, rich range of information, but encodes this information in a form that is difficult to decipher automatically. For example, it is much more difficult to graphically display textual content than quantitative data. In this paper we describe a method for choosing a subset of the Web, an approach to create a search a flexible service to adopt a new way to generate highly effective results for expert searches. Retrieval of information poses the problem of redundancy in retrieval of same data repeatedly. This paper presents an optimized solution for fast recovery of data and also finds methods for regenerating the queries from the queries posed.