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Journal of Library and Information Science in Agriculture ›› 2020, Vol. 32 ›› Issue (3): 4-9.doi: 10.13998/j.cnki.issn1002-1248.2020.02.17-0073

• Special manuscript •     Next Articles

Diachronic Analysis of Word Frequency in the First Document of Chinese Party Central Committee Based on People's Daily Corpus

HUANG Shuiqing1,2, Wang Dongbo1,2   

  1. 1. College of Information Science and Technology, Nanjing Agricultural University, Nanjing 210095;
    2. Research Center for Correlation of Domain Knowledge, Nanjing Agricultural University, Nanjing 210095
  • Received:2020-02-06 Online:2020-03-05 Published:2020-03-23

Abstract: [Purpose/Significance] The aim of this study is to reveal the characteristics of our times of important words in the No. 1 Central Document, the first document issued by the Central Committee of the Communist Party of China every year. [Method/Process] Taking the People's Daily corpus processed by manual word segmentation as the research object, the frequency of several important words in the No.1 Central Document of 2020 which have appeared in People's Daily corpus in January since 2015 is calculated. From a diachronic perspective, this paper compares the changes of word frequency in People's Daily in different periods and analyzes the reasons. [Results/Conclusions] First, words about macro top-level decision making policies and common social phenomena are found to have higher frequency in People's Daily corpus. Second, words related to three rural issues, i.e. agriculture, rural area and farmers, do not have higher frequency, especially those related to specific jobs. Finally, it is feasible to use People's Daily corpus as a basis to conduct the diachronic analysis of word frequency of policy making documents.

Key words: People's Daily corpus, NEPD, First Document of Chinese Party Central Committee, word frequency

CLC Number: 

  • G353
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