Recursive Style Breach Detectionwith Multifaceted Ensemble Learning
(a) beginning
['[BOLD] Word', '[BOLD] Rescaled Counts']
This can be used to locate points in documents where word clusters of small size contain high amount of these terms. We tried two approaches, applied after stopword removal, and we experimented with word phrases of sizes 1, 2 and 3, with single-terms yielding the best results. The first approach assigns scores to words to be rescaled (min-max normalized) : it counts the number of times the target word is at a beginning or at an ending position relative to the author statement. A bit more sophisticated approach scores words based on how close they are to such a position. Then, each word list of position scores is averaged across all documents. x=|statementLength2−(position+1)|statementLength2 (1) Score(position\textsubscriptstatement)=(0+k)∗x(1+k)−x