Using community detection for sentiment analysis

Author

Parau, Paul ; Stef, Alexandru ; Lemnaru, Camelia ; Dinsoreanu, Mihaela ; Potolea, Rodica

Author_Institution

Dept. of Comput. Sci., Tech. Univ. of Cluj-Napoca, Cluj-Napoca, Romania

fYear

2013

fDate

5-7 Sept. 2013

Firstpage

51

Lastpage

54

Abstract

This paper presents a system for identifying communities in networks built based on opinions and social data. We show how we can build graphs from opinions and social interactions and how we identify the community structure of these graphs. We handle both types of data: one-dimensional and multidimensional. As community detection method, we use the Infomap algorithm. The dimensions considered for identifying communities are one or many opinions and social attributes. We show how contradictions can be detected using the identified communities.

Keywords

graph theory; social networking (online); Infomap algorithm; community detection; community identification; graph structure; multidimensional data; one-dimensional data; opinions; sentiment analysis; social attributes; social data; social interactions; Buildings; Clustering algorithms; Clustering methods; Communities; Detection algorithms; Noise; Partitioning algorithms;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Computer Communication and Processing (ICCP), 2013 IEEE International Conference on

Conference_Location

Cluj-Napoca

Print_ISBN

978-1-4799-1493-7

Type

conf

DOI

10.1109/ICCP.2013.6646080

Filename

6646080