Abstract:
A method and system is provided for analysing temporal text data. Particularly, the present application provides a method and system for analysing temporal text data, comprises taking temporal text data as an input from voluminous data sources; implementing text analysis on the input data for information extraction and determination of top concepts; sending the analysed text to a shared file system for storage purpose; clustering the analysed text as per frequency distribution of top users, concepts and tag clouds and presenting the results in the form of a visualisation dashboard.
Abstract:
The present disclosure discloses system and method for providing perceptually efficient visualization of rules and exceptions mined from dataset. Further, parsing is performed on data-attributes associated with the rules. The data-attributes may include antecedents, consequents, ranges of the antecedents, syntax and statistics of the rules and exceptions. The visualization scheme of present disclosure present an overview first, allows semantic zooming, and then shows details on demand. Further, data attributes of the rules are mapped with visual attributes of graphical elements such as shape, color, opacity to create the perceptually efficient visualization of the rules and exceptions. Initially, the visualization shows main rule highlighting the exceptions associated and properties of the exceptions. Further, a semantic zoom slider is provided for allowing a user to navigate through different exception levels of the exception. Further, an interface is provided for obtaining additional information associated with the rules and the exceptions.