Int J Performability Eng ›› 2019, Vol. 15 ›› Issue (11): 3061-3071.doi: 10.23940/ijpe.19.11.p26.30613071

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Negative Information Filtering Algorithm based on Text Content in Multimedia Networks

Wenqing Chena and Weina Fub,c,*   

  1. aCollege of Applied Technology, China University of Labor Relations, Beijing, 100000, China;
    bCollege of Computer and Information Engineering, Inner Mongolia Agricultural University, Hohhot, 010012, China;
    cHunan Provincial Key Laboratory of Intelligent Computing and Language Information Processing, Hunan Normal University, Changsha, 410081, China
  • Submitted on ; Revised on ; Accepted on
  • Contact: * E-mail address: fwn0124@yeah.net

Abstract: In the multimedia network environment, it is necessary to effectively filter negative information in the multimedia network and enhance the ability to mine and identify valid data. This paper presents a new algorithm of negative information filtering based on text content in multimedia networks. The principal component features of negative information in multimedia networks are extracted, and matched filters are designed to filter the negative information reasonably. All text contents and negative information are normalized and sorted. They are transformed into the same text format for classification and processing, and the filtering and detection of negative information are realized. Finally, based on the semantic features of text content, the support vector machine algorithm is used to extract negative information features from data. Experimental results show that the algorithm improves the filtering accuracy and performance for negative information in multimedia networks, and it has good application value.

Key words: text content, multimedia network, negative information, filtering