Abstract: The invention provides a system and method for identifying text in a word set. The method may include retrieving a target term set including a plurality of target terms; retrieving the word set including a plurality of text words; normalizing target terms in the target term set to generate normalized terms; normalizing text words in the word set to generate normalized words; comparing the normalized terms with the normalized words to determine (1) a first match between a first normalized term and a first normalized word; and (2) a second match between a second normalized term and a second normalized word.

Abstract: In accordance with one aspect of the present technique, an imaging simulator system comprises a processor assembly that includes a time activity module configured to generate a time activity data, an imager module adapted to receive at least one imager parameter and configured to model the acquisition of an imaging system, and a simulator module adapted to receive at least the time activity data, and the imager model and configured to generate simulated sensed data based on the time activity data, and the imager model.

Abstract: The invention provides a system and method for identifying text in a word set. The method may include retrieving a target term set including a plurality of target terms; retrieving the word set including a plurality of text words; normalizing target terms in the target term set to generate normalized terms; normalizing text words in the word set to generate normalized words; comparing the normalized terms with the normalized words to determine (1) a first match between a first normalized term and a first normalized word; and (2) a second match between a second normalized term and a second normalized word.

Abstract: The present invention provides a system, method and computer program product for identifying and matching company names to business event information. A crawler crawls and downloads documents by starting from a pre-defined set of links. A parser breaks down the downloaded documents into components like text, titles and links. An evaluator evaluates the parsed documents and selects documents on the basis of amount of relevant information contained in the documents. An information extractor identifies the occurrences of company names in the text contained in the selected documents. It also identifies occurrences of business events, specified by a pre-defined set of event phrases, in the text contained in the selected documents. Further, the information extractor matches the identified company names to the identified business events in order to generate company-business event pairs.