Extracting frequent pattern from Human Interaction in Meeting using Tree based Approach

International Journal of Artificial Intelligence and Knowledge Discovery

Prashant Padmakar Puri¹ 

[1] Sinhgad College Of EngineeringPune University

关键词: Social Dynamics;    Stop words;    Frequency based Classification;    Frequent Pattern Mining;    Human Interaction In Meetings;   

DOI  :  

学科分类：建筑学

来源: RG Education Society

【 摘 要 】

Human Interaction in meetings is one of the famous fields of social dynamics. Meeting is integral part of every organization. In this, meeting outcome is extracted using tree based approach. Meetings contents or conversatation are available in forms such as audio, video and text. In this, pattern of meeting is extracted from text document. An interaction is represented in the form of tree. Meeting Output is generated using data mining technique. Firstly the contents are filtered, extracted and steamed. Secondly classification is done into six categories propose, comment, acknowledgement, requestInfo, askOpinion, posOpinion, and negOpinion. Next the interaction tree is constructed which represent the interaction flow of meeting. Finally the meeting output is generated from interaction tree using frequent pattern mining algorithm. The behavior of person is determined which includes a person who proposed a lot of ideas, a person with positive or negative attitude.

【 授权许可】

Unknown