Computer Science ›› 2022, Vol. 49 ›› Issue (6A): 206-210.doi: 10.11896/jsjkx.210500089

• Intelligent Computing • Previous Articles     Next Articles

TI-FastText Automatic Goods Classification Algorithm

SHAO Xin-xin   

  1. Dalian Neusoft University of Information,Dalian,Liaoning 116023,China
  • Online:2022-06-10 Published:2022-06-08
  • About author:SHAO Xin-xin,born in 1980,postgra-duate,assistant professor.Her main research interests include computer software and theory,and big data.
  • Supported by:
    Natural Science Foundation of Liaoning Province,China(2019-ZD-0354).

Abstract: In order to achieve automatic classification of goods according to title information,a Chinese words goods classification algorithm based on TF-IDF(term frequency-inverse document frequency) and FastText is proposed.In this algorithm,the lexicon is represented as a prefix tree by FastText.The TF-IDF filting is performed on the dictionary processed by n-grammar model.Thus,the high group degree of the entries is biased in the process of computing the mean value of input word sequence vectors,making them more suitable for the Chinese short text classification environment.This paper uses Anaconda platform to implement and optimize the product classification algorithm based on FastText.After evaluation,the algorithm has a high accuracy rate and can meet the needs of goods classification on e-commerce platforms.

Key words: Chinese short text classification, FastText, Goods classification, TF-IDF

CLC Number: 

  • TP391.9
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