Abstract
It is a hot study topic that how to obtain the food collocation and the effect of food collocation. The extraction method for best match of food nutrition is proposed to solve the problem in this paper. First, the method of forward maximum matching is used to segment sentences and filter stop words. Then, the nutrition content of food is abstracted as food collocation vector. At last, the classification results of the KNN algorithm are used to identify the verb of sentence. The average accuracy of the test is 45.9%. The experiments show that the method is effective.
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Acknowledgements
This Research work was supported in part by the Natural Science Foundation of Anhui Province Universities (No. KJ2015A111), the Opening Project of Shanghai Key Laboratory of Integrate Administration Technologies for Information Security (Grant No. AGK2013002) in part by the National Science Foundation of China under (Grant No. 61300202) supported in part by Innovative fund for graduate students of Anhui University of Science and Technology in 2017(No. 2017CX2108).
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Zhu, G., Liu, H., Zhang, S. (2018). The Extraction Method for Best Match of Food Nutrition. In: Abawajy, J., Choo, KK., Islam, R. (eds) International Conference on Applications and Techniques in Cyber Security and Intelligence. ATCI 2017. Advances in Intelligent Systems and Computing, vol 580. Edizioni della Normale, Cham. https://doi.org/10.1007/978-3-319-67071-3_44
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DOI: https://doi.org/10.1007/978-3-319-67071-3_44
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