Analyzing User’s Comments to Peer Recommendations in Virtual Communities

Conference paper
Part of the Smart Innovation, Systems and Technologies book series (SIST, volume 31)

Abstract

Social networks and virtual communities has become a popular communication tool among Internet users. Millions of users share publications about different aspects: educational, personal, cultural, etc. Therefore these social sites are rich sources of information about who can help us solve any problems. In this paper, we focus on using the written comments to recommend a person who can answer a request. An automatic analysis of information using text mining techniques was proposed to select the most suitable users. Experimental evaluations show that the proposed techniques are efficient and perform better than a standard search.

Keywords

Social networks Text mining Recommender systems 

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Copyright information

© Springer India 2015

Authors and Affiliations

  1. 1.Universidad Nacional de San JuanSan JuanArgentina

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