Abstract: A method for training system to perform text-based search among plurality of documents. The method including receiving starting document, having at least one reference-identifier associated with the document; selecting reference-text from starting document; generating search-string by using a plurality of keywords using at least one first machine learning algorithm and at least one search-operator using at least one second machine learning algorithm; performing search among plurality of documents using search-string to fetch set of relevant documents; deriving reference-identifier distribution, corresponding to the at least one reference-identifier associated with document, for the set of relevant documents; and corelating at least one reference-identifier associated with starting document with reference-identifier distribution to determine performance-score for system.

Abstract: A method for training system to perform text-based search among plurality of documents. The method including receiving starting document, having at least one reference-identifier associated with the document; selecting reference-text from starting document; generating search-string by using a plurality of keywords using at least one first machine learning algorithm and at least one search-operator using at least one second machine learning algorithm; performing search among plurality of documents using search-string to fetch set of relevant documents; deriving reference-identifier distribution, corresponding to the at least one reference-identifier associated with document, for the set of relevant documents; and corelating at least one reference-identifier associated with starting document with reference-identifier distribution to determine performance-score for system.

Abstract: A system for detecting a conflict of interest between entities includes a server and a database. The server selects a category to be evaluated for detecting whether or not two entities have a conflict of interest. A tree structure is created including the category and child and descendent categories of the category. The category and the child and descendent categories are hierarchically arranged as nodes of the tree structure. For the two entities, a conflict potential value is iteratively computed for each node based upon a previous conflict potential value of that node, previous conflict potential values of neighbouring nodes and distances between that node and neighbouring nodes. A conflict index value is computed for each node based upon the conflict potential value for that node for each entity. A conflict of interest between the entities is detected if the conflict index value of a node matches a predefined criteria.