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Cluster Computing

, Volume 22, Supplement 4, pp 9977–9990 | Cite as

Research on Tibetan hot words, sensitive words tracking and public opinion classification

  • Guixian XuEmail author
  • Changzhi Wang
  • Haishen Yao
  • Qi Qi
Article

Abstract

The rapid development of Tibetan information technology provides rich resources for Tibetan information processing technology. The construction of Tibetan corpus is the field of Tibetan information processing of basic work. In this paper, we design the system of Tibetan network data collection and web pages preprocessing. It can timely and efficiently access to web resources, and provide a basis for further analysis of Tibetan data. It can establish the Tibetan related corpus, enrich the Tibetan digital resources. It can also alleviate the status of Tibetan corpus data sparse and lack of resources and bring the convenient condition for Tibetan information processing. The hot words reflect the hot spot of Tibetan people’s attention in a certain period of time. Firstly, the paper proposes the method for reducing the space dimension of Tibetan news text. It can effectively reduce the complexity of subsequent processing. Secondly, term weighting method is proposed based on improved TFIDF for Tibetan text information extraction. It utilizes the idea that the words of different locations are given different weights to extract the hot words. On sensitive words discovery and classification of public opinion, sensitive thesaurus are collected artificially. Through the sensitive thesaurus comparison, the sensitive words are extracted. Classification of public opinion words is based on the proposed classification formula and the public opinion thesaurus. It will classify one Tibetan text to one public opinion class. In this paper, the software is developed to automatically collect Tibetan web pages from the network, preprocess the web pages, extract the text features and hot words, discover the sensitive words and classify the Tibetan text to one public opinion class. The experiment shows that the Tibetan hot words extraction is effective and Tibetan classification results of public opinion are significant.

Keywords

Web crawler Tibetan hot words Term weight computing Sensitive words discovery Text classification 

Notes

Acknowledgements

This work was supported by the Beijing Social Science Foundation (No. 14WYB040), First class university, First class discipline construction funds of Minzu University of China (No.2017MDYL12), the National Natural Science Foundation of China (No. 61309012), the National Key Technology Research and Development Program of the Ministry of Science and Technology of China (No. 2014BAK10B03).

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Copyright information

© Springer Science+Business Media, LLC 2017

Authors and Affiliations

  1. 1.Information Engineering CollegeMinzu University of ChinaBeijingChina

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