Text Summarization: An Analysis of Open Source Online Tools

Text Mining is used to extract interesting pattern from large database. Today’s world has generated a lot of data through online as well as offline and so much more. However, everyone desires to read the summary of long document instead of entire document. Text Summarization is used to rearrange an actual amount of data or reduce a text with less time without losing any information. Text Summarization is a way of extracting or collecting significant information from the original text document and presents that collected information in the form of summary. With the help of text summarization tools, it is possible to grasp the main concept of document with less time. The main aim of this paper is to analyze the performance of the open-source text summarization tools. For this analysis, Text Compactor, Summary Generator, Tools4Noobs, Resoomer, SMMRY, Free summarizer and Automatic Text summarizer are considered. Based on the performance analysis, it is observed that the Resoomer tool has summarized the document efficiently than other tools.