DocumentCode :
668832
Title :
Research on micro-blog sentiment orientation analysis based on improved dependency parsing
Author :
Guo Fu-Liang ; Zhou Gang
Author_Institution :
Coll. of Electron. Eng., Naval Univ. of Eng., Wuhan, China
fYear :
2013
fDate :
20-22 Nov. 2013
Firstpage :
546
Lastpage :
550
Abstract :
Micro-blog sentiment orientation analysis´s important signification is analyzed firstly, and then proposes a new Improved Dependency Parsing to analyze micro-blog sentiment orientation on the base of analyzing the peculiarity of micro-blog texts. This improved algorithm includes the sentiment orientation analysis of emoticons and punctuation, and analyze sentiment orientation base on the distance to the kernel emotional words in syntax structure. Experimentations show the algorithm has the good applicability and robustness.
Keywords :
text analysis; emoticons; improved dependency parsing; kernel emotional words; microblog sentiment orientation analysis; microblog texts; punctuation; syntax structure; Accuracy; Algorithm design and analysis; Dictionaries; Grammar; Internet; Syntactics; Micro-blog; dependency parsing; kernel emotional words; sentiment orientation analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Consumer Electronics, Communications and Networks (CECNet), 2013 3rd International Conference on
Conference_Location :
Xianning
Print_ISBN :
978-1-4799-2859-0
Type :
conf
DOI :
10.1109/CECNet.2013.6703390
Filename :
6703390
Link To Document :
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