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Text Summarization is condensing the source text into a shorter version preserving its information content and overall meaning. It is very useful to help users grasp the main information related to a query. Query-oriented summarization aims at extracting an informative summary from a document collection for a given query. The main problem for generating an extractive automatic text summary is to detect the most relevant information in the source document. Query Specific Document Summarization may provide a solution to handle large amount of information present on the World Wide Web. In this TEXT BOOK the work is on query specific extractive text summarization, wherein, sentences are scored based on certain scoring methods and those having high score are extracted to generate summary.