JOURNAL OF SHANDONG UNIVERSITY(NATURAL SCIENCE) ›› 2018, Vol. 53 ›› Issue (9): 49-54.doi: 10.6040/j.issn.1671-9352.0.2017.650

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Design and implementation of topic detection in Russian news based on ontology

  

  1. 1. Post-Doctoral Research Station of Shanghai International Studies University, Shanghai 200083, China;
    2. Information Engineering University, Luoyang 471003, Henan, China
  • Received:2017-12-22 Online:2018-09-20 Published:2018-09-10

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Abstract: Aiming at the problem of topic detection in Russian news, using automatic morphological analysis and named entity recognition as the auxiliary means, a method for describing Russian news elements and calculating their similarities based on ontology was designed. The Single-pass algorithm was used to carry out text clustering experiments for topic detection. By comparing the results of vector space model(VSM)model and ontology model, it is proved that the latter has relatively high accuracy and validity.

Key words: topic detection, Russian, ontology

CLC Number: 

  • TP391
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