This paper address the problem of extracting learning objects or keywords from bunch of Documents,with the goal of use this objects for various purpose like Resume filtering,Email filtering,content classification etc. Keyword extraction, concept finding are in learning objects is very important subject in today’s eLearning environment. Keywords are subset of words that contains the useful information about the content of the document. Keyword extraction is a process that is used to get the important keywords from documents. In this proposed System I Calculate the TF-IDF of each word, then Decision tree algorithm is used for feature selection process using wordnet dictionary. WordNet is a lexical database of English which is used to find similarity from the candidate words. The words having highest similarity are taken as keywords.