Text Mining of Iraqi Law Using Clustering Technique

ABSTRACT The quantity of online text data has expanded hugely in contemporary years because of the rise in demand for the world wide web. Consequence, there is a need to accommodate efficient content-based retrieval, search, and filtering for these tremendous and online repositories. It can be applied the proposal system to the articles of iraqi law. In this paper, it can apply the clustering approaches and data sets that have been randomly collected from iraqi scientific journals. This proposed scheme applies the arabic stemmed of the information science research institute (isri) as an initial processing step and supervised techniques of clustering. We have used the equivalent metrics euclidean and cosine in the proposed system. Our proposed system was evaluated by using (precision، recall and f-measure) certainly, the valuation study is hand-me-down. The testing showed that the proposed system got accepts results in distributed papers according to the fields of Iraqi law. The method is easily understandable to non-mathematicians