Text Summarization using Random Indexing and PageRank
نویسندگان
چکیده
We present results from evaluations of an automatic text summarization technique that uses a combination of Random Indexing and PageRank. In our experiments we use two types of texts: news paper texts and government texts. Our results show that text type as well as other aspects of texts of the same type influence the performance. Combining PageRank and Random Indexing provides the best results on government texts. Adapting a text summarizer for a particular genre can improve text summarization.
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