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- W2612912557 abstract "In this paper, we do a research on the keyword extraction method of news articles. We build a candidate keywords graph model based on the basic idea of TextRank, use Word2Vec to calculate the similarity between words as transition probability of nodes' weight, calculate the word score by iterative method and pick the top N of the candidate keywords as the final results. Experimental results show that the weighted TextRank algorithm with correlation of words can improve performance of keyword extraction generally." @default.
- W2612912557 created "2017-05-19" @default.
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- W2612912557 date "2016-10-01" @default.
- W2612912557 modified "2023-09-26" @default.
- W2612912557 title "Research on keyword extraction based on Word2Vec weighted TextRank" @default.
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- W2612912557 doi "https://doi.org/10.1109/compcomm.2016.7925072" @default.
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