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This paper describes a system that produces extractive summaries of Bengali news documents. The ultimate objective of produced summaries is defined as helping readers to determine whether they would be interested in reading a particular document. To this end, the summary aims to provide a reader with an idea about the theme of a document without revealing the in-depth detail. The approach presented here has four major steps (1) preprocessing (2) extraction of candidate summary sentences (3) ranking the candidate summary sentences (4) summary generation. The proposed approach defines TF*IDF, position and sentence length feature in more effective way that helps in improving the summarization performance. The experimental results show that the proposed text summarization approach outperforms the lead baseline and a more sophisticated baseline that uses TF*IDF and position features both.