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SOFSEM
2016
Springer

Summarizing Online User Reviews Using Bicliques

3 years 10 days ago
Summarizing Online User Reviews Using Bicliques
Abstract. With vast amounts of text being available in electronic format, such as news and social media, automatic multi-document summarization can help extract the most important information. We present and evaluate a novel method for automatic extractive multi-document summarization. The method is purely combinatorial, based on bicliques in the bipartite word-sentence occurrence graph. It is particularly suited for collections of very short, independently written texts (often single sentences) with many repeated phrases, such as customer reviews of products. The method can run in subquadratic time in the number of documents, which is relevant for the application to large collections of documents.
Azam Sheikh Muhammad, Peter Damaschke, Olof Mogren
Added 09 Apr 2016
Updated 09 Apr 2016
Type Journal
Year 2016
Where SOFSEM
Authors Azam Sheikh Muhammad, Peter Damaschke, Olof Mogren
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