We present an analysis of Internet users' behaviour based on the study of a set of four million comments from two services: BBC Forum and DIGG. Each of the comments was processed using sentiment analysis classifiers to determine its emotional valence (positive, negative or neutral). We propose two new versions of emotional clusters which are an extension of the definition introduced in the paper [1] to quantify the collective character of expressed emotions. The new clusters take into account the existence of noisy comments with mistakenly classified emotional valenciese. The presence of noise changes distributions of cluster lenghts. Additionally, we suggest a simple analytical model describing emergence of noisy clusters.

[1] A. Chmiel, J. Sienkiewicz, M.Thelwall, G.Paltoglou, K. Buckley,  A. Kappas, J. A. Hołyst Collective emotions online and their influence on community life, PLoS ONE 0022207 (2011)

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