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Erschienen in:
2015 | OriginalPaper | Buchkapitel
De-word Classification Algorithm Based on the Electric Power of Large Data Library Retrieval
verfasst von : Xiaoli Guo, Huiyu Sun, Ling Wang, Zhaoyang Qu, Wei Ding
Erschienen in: Computer Science and its Applications
Verlag: Springer Berlin Heidelberg
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In order to improve the performance of text classification and information retrieval in big data of electric power domain, we propose a novel Chinese language classification algorithm - De-word classification algorithm. Focusing on the key role played by the De-word in modern Chinese language, this algorithm examines Chinese text classification method from a unique angle. Besides, on the basis of traditional weighted algorithm, it designs a novel relevance weighting model - De-TFIDF, and achieves a higher correlation in text information retrieval. Experiments show that, De-word classification algorithm significantly improves the efficiency of text classification, significantly improved information retrieval performance.