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How to Analyze Communication Data from Laboratory Experiments Without Being a Machine Learning Specialist
2021
Journal of Economics and Behavioral Studies
Recently, the analysis of communication has gained attention in experimental research. One important question is whether certain types of communication affect decisions differently than others. In this regard, Houser & Xiao (2011) present an approach for the classification of natural language messages. The primary limitation of their approach is its limited applicability to large message datasets. Therefore, Penczynski (2019) extends the methodological instruments by applying a machine learning
doi:10.22610/jebs.v13i1(j).3083
fatcat:6vaidineg5f6tdg34eph7qfptq