• DocumentCode
    3699292
  • Title

    Research on text similarity computing based on word vector model of neural networks

  • Author

    Yuan Sun;Weikang Li;Peilei Dong

  • Author_Institution
    School of Information Engineering, Minzu University of China, Beijing, China
  • fYear
    2015
  • Firstpage
    994
  • Lastpage
    997
  • Abstract
    Text similarity computing plays an important role in natural language processing. In this paper, we build a word vector model based on neural network, and train Chinese corpus from Sohu News, World News, and so on. Meanwhile, a method of calculating the text semantic similarity using word vector is proposed. Finally, through comparing with the traditional calculation method TF-IDF, the experimental results prove the method is effective.
  • Keywords
    "Semantics","Neural networks","Training","Computational modeling","Information retrieval","Buildings","Linear programming"
  • Publisher
    ieee
  • Conference_Titel
    Software Engineering and Service Science (ICSESS), 2015 6th IEEE International Conference on
  • ISSN
    2327-0586
  • Print_ISBN
    978-1-4799-8352-0
  • Electronic_ISBN
    2327-0594
  • Type

    conf

  • DOI
    10.1109/ICSESS.2015.7339221
  • Filename
    7339221
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3699292