1. A method comprising: identifying a user associated with a text expression containing one or more content-indicative words; classifying data of the text expression using one or more classifiers, said classifying comprising using the one or more content-indicative words to identify an intent of a user, the intent comprising a semantic meaning of the text expression, the one or more content-indicative words including one or more of: at least one temporal keyword, and at least one action keyword; and on determination of intent of a user based on said identifying and classifying, providing to the user data related to the intent of the user obtained in real-time from a set of information repositories; wherein the intent of the user comprises at least one of structured data and unstructured data; and said classifying comprises employing a Δ-TFIDF based analyzer and at least one classifier selected from the group consisting of: a co-occurrence driven analyzer; a part-of-speech analyzer; a rule-based analyzer; a dependency grammar based analyzer.