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.