1. A method comprising: receiving textual data, and storing the received data in memory; analyzing the stored data, wherein the analysis comprises: identifying at least one sentence from the stored data; parsing parts of speech of each word of the at least one identified sentence using a linguistic parser, including parsing a verb from the at least one parsed sentence, and identifying a verb usage pattern in the at least one identified sentence; forming a low level subject-verb-object (SVO) triplet for the at least one parsed sentence, including identifying a subject, verb, and object of the at least one parsed sentence, wherein the identification of the subject, verb, and object comprises joining the identified verb usage pattern with a form of the identified verb to ascertain linguistic taxonomy; forming a high level SVO triplet for the at least one parsed sentence, including determining a subject category for the subject, a verb category for the verb, and an object category for the object based on the taxonomy; and classifying the at least one parsed sentence based on the high level SVO triplet; and summarizing the analysis of the stored data, including: producing an analysis report reflective of the analysis; and converting the produced analysis report into a summary report reflective of the analysis report, including clustering the received textual data into one or more statement clusters, wherein the summary report comprises the statement clusters.
6. The method of claim 1 , wherein the joining of the identified verb usage pattern with a form of the identified verb comprises providing a mapping from the verb usage pattern to the identified verb based on a reference to an existing linguistic resource.