Semantic words similarity in triple relation using intermediate concept by PLSI

Semantic similarity measures play important roles in information retrieval and natural language processing. Several researches calculate semantic similarity between two words using web search engines as corpus or manually compiled corpus. In this paper, a method to find the word Ri between two words P and Q and extract a relation of the words with PLSI (Probabilistic Latent Semantic Indexing) is proposed. The results of the experiments show that using the PLSI with smaller latent class such is effective in getting Ri which is more related to P and Q, and using the PLSI with over 5 latent class is effective in getting veiled relation between P and Q.