DocumentCode
229084
Title
CosMovis: Analyzing semantic network of sentiment words in movie reviews
Author
Hyoji Ha ; Gi-nam Kim ; Wonjoo Hwang ; Hanmin Choi ; Kyungwon Lee
Author_Institution
Life Media Interdiscipl. Program, Ajou Univ., Suwon, South Korea
fYear
2014
fDate
9-10 Nov. 2014
Firstpage
113
Lastpage
114
Abstract
In this paper, we present the new method to easily recognize intricate network and cluster by connecting Multidimensional Scaling(MDS) Map and Social Network Graph, and comprehend the feature of each node using Heatmap Visualization. For the sake of this method, this paper used netizen´s movie review data. Also, the process is as follow : 1) We calculated the frequency of sentiment word from each movie review. 2) We designed Heatmap Visualization which easily apprehends main emotion of netizens which appear in each movie review. 3) We made location of each node reflect the frequency of sentiment word by designing Sentiment-Movie Network made up of combining MDS Map and Socal Network Graph, as well as we embodied Network Graph to make same nodes form cluster. 4) By granting meaning in accordance with characteristic of clustering, we applied asterism graphic to facilitate cognitive interpretation. Our demonstration is available to http://idlab.ajou.ac.kr/cosmovis/.
Keywords
cognition; entertainment; network theory (graphs); pattern clustering; semantic networks; social networking (online); CosMovis; MDS map; asterism graphic; cognitive interpretation; heatmap visualization; multidimensional scaling map; netizen movie review data; network graph; semantic network analyzing; sentiment words; sentiment-movie network; social network graph; Data visualization; Electronic mail; Heating; Motion pictures; Semantics; Social network services; Review mining; Semantic networks; Sentiment word analysis;
fLanguage
English
Publisher
ieee
Conference_Titel
Large Data Analysis and Visualization (LDAV), 2014 IEEE 4th Symposium on
Conference_Location
Paris
Type
conf
DOI
10.1109/LDAV.2014.7013215
Filename
7013215
Link To Document