TEXT SUMMARIZER

The advent of the World Wide Web, with a wealth of information, required easily accessible information, so databases and search engines were created to access that information. This information system is updated whenever new data is generated, since the volume of electronic information rises everyday, and no one can promise that manual analysis will provide the full picture anymore. Accordingly, the need for automated summarization systems is high. Automatic summary reads few papers as input and produces a summarized version and hence saves both information and time. The research was performed in a single paper and produced multiple papers. In this report, we are Specifically focusing on frequency-based approach for text summarization