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