@inproceedings{5793620cb75d4f3aba7a3a82cc9807cb,
title = "Summarization of documents by finding key sentences based on social network analysis",
abstract = "Finding key sentences or paragraphs from a document is an important and challenging problem. In recent years, the amount of text data has grown astronomically and this growth has produced a great demand for text summarization. In the present study, we propose a new text summarization process by text mining and social network methods.",
keywords = "Centrality degree, Social network, Text mining, Text summarization",
author = "Cho, {Su Gon} and Kim, {Seoung Bum}",
note = "Publisher Copyright: {\textcopyright} Springer International Publishing Switzerland 2015.; 28th International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2015 ; Conference date: 10-06-2015 Through 12-06-2015",
year = "2015",
doi = "10.1007/978-3-319-19066-2_28",
language = "English",
isbn = "9783319190655",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "285--292",
editor = "Chang-Hwan Lee and Yongdai Kim and Kwon, {Young Sig} and Juntae Kim and Moonis Ali",
booktitle = "Current Approaches in Applied Artificial Intelligence - 28th International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2015, Proceedings",
}