Opinion analysis from reviews using information extraction and fuzzy sets

2014 ◽  
Vol 6 (2) ◽  
pp. 253-258
Author(s):  
Shaidah Jusoh ◽  
Hejab M. Alfawareh
2014 ◽  
Vol 1079-1080 ◽  
pp. 609-613
Author(s):  
Xue Mei Zhou ◽  
Yi Zhe Liu

With development of information technology and network technique, as information media micro-blog becomes more and more important. Micro-blog is noted for preeminent simple, convenient and interactivity. However with the help of micro-blog, fake information is rampant increasingly. The public opinion analysis of micro-blog data allows of no delay. This paper explicates the features of micro-blog text, and then describes text information extraction technology such as top detection, tracking in detail. The outcomes of information extraction can inform government department spot of internet public opinion in real time.


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