The paper describes the problems of automatic selection of experts for reviewing scientific texts. Existing methods are analyzed, and a new selection method is proposed, based on obtaining a ranked list of relevant experts by processing a large amount of unstructured data. A technique for evaluating the results of similar methods is proposed and experimental studies of the effectiveness of the proposed approaches are conducted