Earticle

초록

영어

Sentiment analysis is shown significant and indispensable status in hot topic, public-opinion poll, knowledge acquiring and recommended goods fields, which is the fundamental work for natural language processing. This paper proposes an approach to build the Tibetan sentiment dictionary and to calculate the sentiment value base on the Tibetan semantic relations. We test our approach on experimental corpus crawled from Sina weibo and the experimental results demonstrate good performance on Tibetan language.

목차

Abstract
 1. Introduction
 2. Related Work
  2.1. The Supervised Learning Method
  2.2. The Unsupervised Learning Method
 3. Tibetan Sentiment Calculation
  3.1. The Tibetan Sentiment Dictionary
  3.2. The Sentiment Calculation Model
 4. Experimental Results and Analysis
  4.1. Experimental Data
  4.2. The Experimental Procedure
 5. Conclusions
 Acknowledgement
 References

키워드

저자

• Zhen Zhang [ Department of Information Technology, Minzu University of China, Beijing ]
• Lirong Qiu [ Department of Information Technology, Minzu University of China, Beijing ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Database Theory and Application

• 간기

  격월간

• pISSN

  2005-4270

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605