TEXT SUMMARIZATION EVALUATION BASED ON SENTENCE SCORING AND CLUSTERING
A summary system comprises a subtraction of text document contents to generate a new form that delivers the essentials contents of the text documents. Due to the hassle of documents overload, getting the right information and effectivelydeveloped summaries are essential in retrieving information. Reduction of information allows users to find the information needed quickly without the need to read the full document collection. The purpose of this paper is to evaluate the performance of sentence scoring and clustering in the process of generating text summaries. Adaptive Neuro Fuzzy Inference System (ANFIS) has been used to score the sentences and clustering were performed using K Means and Hierarchical Clustering (HC) approaches. From the experimental findings, it was found that no improvements in the quality of the generated summaries obtained by simply performing clustering. This paper proposes some recommendations to improve text summarization.