The internet contains hundreds of thousands of electronic collections that often contain high quality information. The basic aim is to select the best collection of information for a particular information need. The indexing phase of search engines can be viewed as a Web Content Mining process. Starting from a collection of unstructured documents, the indexer extracts a large amount of information like the list of documents, which contain a given term. It also keeps account of number of all the occurrences of each term within every document. This information is maintained in an index, which is usually represented using an inverted file .
Preprocessing is a process used for conversion of document into feature vector. Just like text categorizations the preprocessing also has controversy about its division. The preprocessing is divided into two parts – text preprocessing and document indexing.
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