Abstract: Systems and methods determine and record legitimate interest in a consistent and quantitative manner. A contact interest engine receives from a source (e.g., sales/marketing automation), data regarding interaction with a contact. The interaction data may include a topic, a country, and consent by the contact. The CII processes the interaction data according to appropriate rules, in order to calculate a Legitimate Interest (LI) point score. The LI point score may be affected by decay over elapsed time from communication with the contact. The LI point score is recorded and then referenced in order to determine an existence of LI. Based upon the LI, appropriate actions may be output (e.g., permission to communicate with the contact; issued alerts; recommendations for follow-up activities). Reproducibility of the LI determination allows marketing/sales professionals (having limited expertise in privacy rules/regulation) to reach out with confidence to prospective contacts (e.g., customers).

Abstract: A text processor and a method of text processing comprises obtaining a plurality of word groups each comprising a sequence of words from a text, determining a frequency of occurrence of each of the word groups within a text corpus, by interrogating a database including the frequency information, and indicating word groups that have a frequency of occurrence that is below a threshold value.