The Objective of this research is to determine the names of individuals in Kannada text documents. The Kannada text document includes various Named Entities like Name of a person, Place, Organization, Designation and various other entities shall be determined from it. The method divides the collection of Kannada sentences into different sentences in the pre-processing stage, then dividing the sentence into different words in the second stage of pre-processing. Further, the words are annotated and then the rule based feature extraction is done to recognize the Kannada Named Entities. The multi-class SVM classification is employed to determine the Kannada Named Entities. The Rule based approach focuses on identifying the names of a person by applying the rules formulated, place, and designation of a person has been identified by recognizing the names then the word prior to the names has been considered as a designation of a person. The Rule based Kannada Named Entity Recognition recognizes the various words of the Kannada text document. It has yielded a good results of 89.32% from a proposed Rule based Kannada Named Entity Recognition.
Pre-processing, Rule based Approach, Multi-Class SVM Classification, Named Entity Recognition.