*Associate Professor, Gnanamani College of Technology, Namakkal, Tamil Nadu, India
**Professor & Dean, Nandha Engineering College, Erode, Tamil Nadu, India
Online published on 9 December, 2016.
Now-a-days the impact of Internet and its usage is increased dramatically. The information available all over the world is very high. People are using social media like Facebook, Linkedin, and Twitter etc. Due to information sharing the text documents, audio and video files are gets increased. The Extraction of semantic similar documents is big problem. Constructing a proper classification model under in research. Kmeans algorithm works better for high dimensional data. Our proposed research concentrates on combining Wordnet based semantic similarity with Term Frequency Matrix (TFM).
K-Means Classification, Semantic Similarity, Wordnet, Term Frequency Matrix, Information Retrieval
