Abstract

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 Key Words: Automatic summarization, Extractive, Node package manager (npm), javascript, frequency-based.

Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.