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Document Summarization using Semantic Feature based on Cloud
| Content Provider | Semantic Scholar |
|---|---|
| Author | Kim, Yong-Il Park, Sun |
| Copyright Year | 2013 |
| Abstract | This paper proposes a document summarization method using the extracted semantic feature which it is extracted by distributed parallel processing of NMF based cloud technique of Hadoop. The proposed method can well represent the inherent structure of documents using the semantic feature by the non-negative matrix factorization (NMF). In addition, it can summarize the big data document using Hadoop. The experimental results demonstrate that the proposed method can summarize the big data document which a single computer cannot summarize those. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | http://onlinepresent.org/proceedings/vol30_2013/10.pdf |
| Language | English |
| Access Restriction | Open |
| Subject Keyword | Apache Hadoop Automatic summarization Big data Extraction Non-negative matrix factorization Parallel computing |
| Content Type | Text |
| Resource Type | Article |
