HUMAN INTERACTION PATTERN IDENTIFICATION USING STEMMING IN GENETIC ALGORITHM

Abstract

Human interaction discovers to the knowledge to (higher) someone. It everything happened in meeting, debate, interview etc. Nature of the person is represented through behavior and mining technique helps to analyze the opinion a person exhibits. Discovering semantic knowledge is significant for understanding and interpreting how people interact in a meeting discussion. Different human interactions, such as proposing an idea, giving comments, and acknowledgements, indicate user intention toward a topic or role in a discussions. To identify the problem of detecting more number of interaction patterns made in the meeting to gain semantic knowledge of meetings by using GA inherit the techniques of STA. Human interaction flow is represented by Tree structure. To identify the human intentions clearly while the people interaction the meeting by using STA technique.