JOURNAL OF SHANDONG UNIVERSITY(NATURAL SCIENCE) ›› 2015, Vol. 50 ›› Issue (01): 20-25.doi: 10.6040/j.issn.1671-9352.3.2014.024

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Analysis on new word detection and sentiment orientation in Micro-blog

TANG Bo, CHEN Guang, WANG Xing-ya, WANG Fei, CHEN Xiao-hui   

  1. School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing 100876, China
  • Received:2014-09-19 Revised:2014-11-25 Online:2015-01-20 Published:2015-01-24

Abstract: Due to popularity and flexibility of social media, more increasingly created words were used to express people's feelings and attitudes. New word detection and sentiment orientation has become a hot issue in Micro-blog analysis. The methods and techniques used in Task 3 of COAE 2014 were introduced. Generalized suffix tree was employed in string extraction, which was determined as new words with metrics like left-right-flexibility of words etc. Then, with pattern-based and statistic-based methods combined with multiple lexicons, sentiment orientation of new words was decided. Search engine was also used to optimize result as a supplement from semantic perspective. Results have shown our methods effective in new word detection and sentiment orientation analysis.

Key words: Micro-blog, generalized suffix tree, sentiment orientation analysis, new word detection

CLC Number: 

  • TP391
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