SUPERVISED ALIAS NAME VALIDATION USING STATISTICAL SIMILARITY COEFFICIENTS

SUPERVISED ALIAS NAME VALIDATION USING STATISTICAL SIMILARITY COEFFICIENTS

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Alias name is the surnames for a known name.Extracting and validating alias names is an interesting research here topic in language processing and has a number of Natural language processing applications like Information extraction, Information retrieval, Sentimental analysis, Question and answering.Alias name validation involves the process of validating whether a name is alias name or not.In this work, seven statistical similarity coefficients were used as features in classifier to validate alias names.

For each name-alias pair, seven statistical similarity coefficient values were calculated and used as features to train 2006 nissan altima radio a classifier.The trained classifier is then employed to classify whether a name-alias pair is valid or not.Experiments were conducted using Indian name-alias data that has data for 15 persons containing 35 name-alias pairs.Results show that SVM classifier with Radial Basis Function Kernel outperforms all the other classifiers in terms of overall accuracy.