This is the unspecified version of the paper. This version of the publication may differ from the final published version. Abstract-Surname (family name) analysis is used in geography to understand population origins, migration, identity, social norms and cultural customs. Some of these are supposedly evolved over generations. Surnames exhibit good statistical properties that can be used to extract information in names data set such as automatic detection of ethnic or community groups in names. An e-mail address, often contains surname as a substring. This containment may be full or partial. An e-mail address categorization based on semantics of surnames is the objective of this paper. This is achieved in two phases. First phase deals with surname representation and clustering. Here, a vector space model is proposed where latent semantic analysis is performed. Clustering is done using the method called averagelinkage method. In the second phase, an email is categorized as belonging to one of the categories (discovered in first phase). For this, substring matching is required, which is done in an efficient way by using suffix tree data structure. We perform experimental evaluation for the 500 most frequently occurring surnames in India and United Kingdom. Also, we categorize the e-mail addresses that have these surnames as substrings. Permanent repository link
Hence, an advanced statistical analysis method has been developed for email address categorization based on semantics of surnames REF .
E-mail address categorization based on semantics of surnames
2013 IEEE Symposium on Computational Intelligence and Data Mining (CIDM)
2013 IEEE Symposium on Computational Intelligence and Data Mining (CIDM)
Computer Science