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Entity name recognition of cross-border e-commerce commodity titles based on TWs-LSTM

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Abstract

Commodity information must be matched to HSCode so as to be quickly through customs for export. So it is particularly important to identify entity name in the commodity title of e-commerce platform quickly and accurately. Aim at the problem, an approach based on TWs-LSTM is proposed to identify the entity name of commodity. In this paper, we apply TFIDF algorithm to manipulate text corpus of the commodity for getting the weight matrix of the commodity words. Meanwhile, we use the Word2Vec model to represent the semantic meanings of the words extracted from the bag of words. Then, the weight vector of commodity titles and every word vector of the title are combined into a new one-dimensional vector. We use these one-dimensional vectors to represent the commodity titles, named TWs model. Finally, we put the TWs vector into the LSTM for commodity entity name recognition. In the experimental stage, we compare the TWs-LSTM model with other text processing models for experimental calculation by dividing the commodity entity name data into a training set and a testing set. After applying the TWs-LSTM model, the F1-Score reached 64.58% with the commodity title corpus of the Tmall platform, where the TWs-LSTM achieves a state-of-the-art in comparison with the baseline models and previous studies.

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Acknowledgements

The authors are grateful for the helpful suggestions from the anonymous reviewers. This research was supported by the National Natural Science Foundation of China (No. 71373123) and the Fundamental Research Funds for the Central Universities (No. NW2018004).

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Authors and Affiliations

  1. College of Economics and Management, Nanjing University of Aeronautics and Astronautics, Nanjing, 211106, China

    Yongcong Luo & Jing Ma

  2. Cainiao Logistics Co., Ltd., Hangzhou, 311100, China

    Chi Li

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  1. Yongcong Luo
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Correspondence to Jing Ma.

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Appendix

Appendix

Among the ten digits in the HSCode, the first six digits are the codes of international common standards for dividing all international trade commodities into 22 sections and 98 chapters, and then last four digits are individually coded by countries according to their own conditions. Each chapter includes the commodity heading and subheading.

The Fig. 11 shows the HSCode and the commodity information, and can be described as follows:

Fig. 11
figure 11

Customs Export Declaration Form of the People’s Republic of China

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  • The ten numbers 9603210000 in the red box: 96 represents the chapter, 03 represents the heading, 21 represents the subheading and the 0000 coded by the China Customs.

  • The information in the blue box is commodity name ‘toothbrush’.

  • The items in the black box: ‘cleaning’ (function of commodity), ‘polypropylene/nylon’ (constituents of commodity) and the ‘LION brand’ (commodity brand).

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Luo, Y., Ma, J. & Li, C. Entity name recognition of cross-border e-commerce commodity titles based on TWs-LSTM. Electron Commer Res 20, 405–426 (2020). https://doi.org/10.1007/s10660-019-09371-6

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  • DOI: https://doi.org/10.1007/s10660-019-09371-6

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