JOURNAL OF SHANDONG UNIVERSITY(NATURAL SCIENCE) ›› 2014, Vol. 49 ›› Issue (11): 51-58.doi: 10.6040/j.issn.1671-9352.3.2014.255

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New methods for extracting emotional words based on distributed representations of words

YANG Yang, LIU Long-fei, WEI Xian-hui, LIN Hong-fei   

  1. Information Retrieval Laboratory, Dalian University of Technology, Dalian 116023, Liaoning, China
  • Received:2014-08-28 Revised:2014-10-24 Online:2014-11-20 Published:2014-11-25

Abstract: Word-level sentiment analysis is a hot research interest in the field of affective computing. How to recognize and analyze these new emotional words automatically becomes an urgent problem. Firstly, statistics-based approach was used to identify the new words in Micro-blog corpus and then distributed representation of new words was trained by using neural network in order to get the correlation between words in corpus. Finally three vector-based methods to find new emotional words were introduced. The experimental results indicate that the proposed methods in this paper can be effectively used in discovery of new emotional words.

Key words: emotional words, neural network, distributed representations of words

CLC Number: 

  • TP391
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