Keywords Recommender for Scientific Papers Using Semantic Relatedness and Associative Neural Network

The purpose of this paper is to extract keywords from scientific papers. Keyword extraction is used to assist in suggesting keywords for indexers or to produce a summary in a form of keywords for scientific writings. Scientific writings are also categorized as structured document because the scientific papers have parts such as title, abstract, content, and conclusion, so we are going to find important information on those parts. So the method that suitable was Associative Neural Network Algorithm and using trained Associative Neural network with chosen keywords data sets we are able to find keywords features in scientific documents. So the automated keywords extraction and pre-included keywords from the writer will be compared to choose either the most relevant or complementary and providing recommendation or perhaps the extracted automated keywords and the keywords from the writer are exactly the same.