34. The method of claim 33 , wherein the step of identifying a text summarization segment includes computing one or more token weights for each of the document tokens, each weight being representative of the relevance of a respective token to the query information with relation to the document collection.
33. A method for creating a summary with relation to an existing document collection having one or more documents based on a query, comprising: receiving query information from a user after creating a subspace for the existing document collection; performing one of a domain driven text summarization, an example type query driven text summarization, and a term type query driven text summarization on a selected document in the existing document collection; recomposing a vector representation of the query in the subspace by projecting the vector representation of the query back into the original term space when performing domain driven text summarization or example type query driven text summarization; computing a relationship of the term to the terms in the query using a term-term matrix associated with an original term space of the existing document collection when performing term type query driven text summarization; identifying a first document segment of a first document of the document collection, wherein the first document segment is substantially optimized to represent a summary of the first document in relation to the query information based on a weighting process of tokens within the document, the weighting process being based on the computing of the term relationships or on a subspace transformation of the query information, the subspace being based on a number of occurrences of tokens in the documents of the existing document collection; and returning the first document segment of the first document to the user.