Text Summarization for Psoriasis of Text Extracted from Online Health Forums using TextRank Algorithm
About this article
DOI:
https://doi.org/10.14419/ijet.v7i3.34.19579Keywords:
Text summarization, TextRank algorithm, summaryAbstract
Text summarization is a process by which a document with enormous text and information is condensed into a summary of fewer sentences. In other words, it’s a technique employed to extract significant contents from a text document, so that it can be represented in a summary.In recent years, this technique has seen a tremendous importance in various fields including search engine, business analysis, market review, medical applications etc. In this paper we have attempted to implement automatic text summarization for summarizing information from online health care forums about the disease Psoriasis.
References
Rada Mihalcea and Paul Tarau, “Text-rank: Bringing Order into Texts,” Proceeding of the Conference on Empirical Methods in Natural Language Processing, Barcelona, Spain, 2004.
M. S. Patil, M. S. Bewoor, S. H. Patil “A Hybrid Approach for Extractive Document Summarization Using Machine Learning and Clustering Technique”, International Journal of Computer Science and Information Technologies, Vol. 5, IssueNo. 2, ISSN: 0975-9646, pp.1584-1586, 2014.
RasimAlguliev, RamizAliguliyev, “Evolutionary Algorithm for Extractive Text Summarization.” Intelligent Information Management, 1, pp. 128-138, November 2009.
Naresh Kumar Nagwani, Dr. Shrish Verma Associate “A Frequent Term and Semantic Similarity based Single Document Text Summarization Algorithm”, International Journal ofComputer Applications(0975- 8887) Volume 17- No.2, March 2011.