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Multi-Document Text Summarization using Mutual Reinforcement and Relevance Propagation Models Added with Query and Features Profile
| Content Provider | Semantic Scholar |
|---|---|
| Author | Bari, Poonam P. Sondur, Shanta |
| Copyright Year | 2013 |
| Abstract | Text summarization is the process of abridging the larger text into a shorter version preserving its information content and meaning. Using text summarizer user gets sense of the full-text, or able to know its information content without reading all sentences within the larger text. Text summarization reduces the text by removing less useful data which helps user to find the required information quickly without wasting time in reading the whole text. Lot of work has been done for automatic text |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | http://www.theaccents.org/ijacr/papers/Issue_11_icettr-2013/11.pdf |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |