Calculating the semantic similarity between sentences is a long-standing problem in the area of natural language processing. The semantic analysis field has a crucial role to play in the research related to the text analytics. The meaning of the word in general English language differs as the context changes. Hence, the semantic similarity varies significantly as the domain of operation differs. For this reason, it is crucial to consider the appropriate definition of the words when they are compared semantically. We present an unsupervised method that can be applied across multiple domains by incorporating corpora based statistics into a standardized semantic similarity algorithm. To calculate the semantic similarity between words ...