Multi-Document Summarization using CS-ABC Optimization Algorithm

Kumar, K. Chandra and Nagalla, Sudhakar (2020) Multi-Document Summarization using CS-ABC Optimization Algorithm. EAI Endorsed Transactions on Energy Web, 7 (28): e9. ISSN 2032-944X

[thumbnail of eai.13-7-2018.163835.pdf]
eai.13-7-2018.163835.pdf - Published Version
Available under License Creative Commons Attribution No Derivatives.

Download (2MB) | Preview


In revolve handle to the information excess, the dramatic boost up documents, on the WWW, show the way of the accessibility of various credentials through the equal subject with conception. Within a limited time, a hard to inquire a suitable a particular document associated to a specific topic to fulfils user’s compound data conditions. Hence, we have followed an effective document summarization system applying SVM classifier strategy by this paper. For choosing optimal sentence sets, the proposed technique applies the hybrid ABC-CS optimization algorithm. Further, established on few relevant features, SVM classifier approach is applied in finding the summary by ranking each of the optimal sentences. The operational proposal of JAVA and the results were examined for the methodology is implemented.

Item Type: Article
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
QA75 Electronic computers. Computer science
Depositing User: EAI Editor II.
Date Deposited: 16 Sep 2020 14:04
Last Modified: 16 Sep 2020 14:04

Actions (login required)

View Item
View Item