A comparative study on Measure of Semantic Relatedness function

The semantic analysis and context awareness in data mining can intensively increase results precision. In this research different semantic relatedness functions called ¿Measure of Semantic Relatedness (MSR)¿ are discussed and compared. We found that the quality and accuracy of MSRs are different when applied in various contexts. Here we compared several MSR algorithms using different corpuses and have analyzed the results.