DocumentCode :
3536899
Title :
The features-based evolution of the opinions in forums using a semantic summarization approach
Author :
Cercel, Dumitru-Clementin ; Trausan-Matu, Stefan
Author_Institution :
Fac. of Autom. Control & Computes Sci., Univ. Politeh. of Bucharest, Bucharest, Romania
fYear :
2013
fDate :
26-27 Aug. 2013
Firstpage :
222
Lastpage :
227
Abstract :
The consumers do not often express their opinions on the entity itself, but about its features. Our overall goal is represented by the visualization of the evolution of opinions in a collection of forums data, which simplifies the graph with messages that contain opinions. In the final graph, each node resulted from the aggregation of the opinions with the same polarity from the neighboring nodes contains the opinion polarity and words that give the respective polarity. For this purpose, in this paper we identify the features for a target entity, we search opinions about features and we analyze the opinion sentences. In the proposed solution, we adopt an approach to opinion summarization.
Keywords :
data mining; graph theory; evolution of opinions; features-based evolution; final graph; forums data; opinion sentences; opinion summarization; semantic summarization; Batteries; Cellular phones; Classification algorithms; Data visualization; Electronic mail; Feature extraction; Semantics;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Systems and Computer Science (ICSCS), 2013 2nd International Conference on
Conference_Location :
Villeneuve d´Ascq
Print_ISBN :
978-1-4799-2020-4
Type :
conf
DOI :
10.1109/IcConSCS.2013.6632051
Filename :
6632051
Link To Document :
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