1. A system for textual similarity identification, the system comprising: a database configured to store a first set of textual statements and a second set of textual statements; a textual analysis module stored in a memory and executable on a processor to: retrieve the first set of textual statements and the second set of textual statements from the database; generate a plurality of statement pairs, wherein each statement pair of the plurality of statement pairs includes a textual statement from the first set and a textual statement from the second set; identify, for each statement pair, a first verb-entity pair from textual content of the textual statement of the first set and a second verb-entity pair from textual content of the textual statement of the second set; determine a respective score for each statement pair, wherein the respective score is indicative of a level of similarity between textual content of the textual statement of the first set and textual content of the textual statement of the second set; compare each respective score to a predetermined scoring threshold; and generate a visual representation configured to be viewed on a display, wherein the visual representation is configured to visually indicate when each statement pair has a respective score greater than the predetermined scoring threshold.
2. The system of claim 1 , wherein the textual analysis module is further executable to: determine a plurality of sub-scores for each statement pair, wherein each sub-score is based on the textual content of the textual statement of the first set and the textual content of textual statement of the second set of a respective statement pair; determine a first respective score, for each statement pair, wherein the first respective score is selected as a maximum score of the plurality of sub-scores of the respective statement pair; determine a second respective score for each statement pair, wherein the second respective score is based on the plurality of sub-scores; and select a respective final score for each statement pair based on the first respective score and the second respective score.