Ramya Sharada K

Work place: ITC Infotech, Bangalore, Karnataka, India

E-mail: aditi.ramyaaa@gmail.com


Research Interests: Data Mining, Data Compression, Data Structures and Algorithms


Ramya Sharada is currently working as Associate IT Consultant with ITC Infotech, Bangalore. She has completed her Bachelor’s in Engineering from PESIT, Bangalore South Campus in Information Science Engineering. Her areas of interest are Text processing and Mining, Spatial Data Mining and knowledge based systems.

Author Articles
A Text Analysis Based Seamless Framework for Predicting Human Personality Traits from Social Networking Sites

By Ramya Sharada K Arti Arya Ragini S Harish Kumar Abinaya G

DOI: https://doi.org/10.5815/ijitcs.2012.10.04, Pub. Date: 8 Sep. 2012

Predicting human behavior based on the usage of text on social networking sites can be a challenging area of interest to a particular community. Text mining being a major interest in Data Mining has vast applications in various fields. Clients can assess an individual’s behavior using the proposed framework that is based on person’s textual interaction with other people. In this paper, a framework is proposed for predicting human behavior in three phases- Text Extraction, Text cleaning and Text Analysis. For cleaning text, all the stop words have been removed and then the text is utilized for further processing. Then, the terms from the text are clustered based on semantic similarity and then gets associated with respective physiological parameters that identify a human behavior. This application is best suited for the fields of Criminal Sciences, Medical Sciences, Human Resource Department and Political Science and even for Matrimonial purposes. The proposed framework is applied on some famous world known celebrities and the results are quite encouraging.

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