KET is extracting keywords based on their relatedness weight among the entire text terms. Strength of terms relationship is evaluated by frequency of word.
KEA is built on the observation that keywords usually contain multiple informative words (called content words) but not punctuation and stop words.
For implementation of tool Python 3.6.3 programming language is used and HTML code is used for front end development.
