A Text Analysis Based Seamless Framework for Predicting Human Personality Traits from Social Networking Sites
Автор: Ramya Sharada K, Arti Arya, Ragini S, Harish Kumar, Abinaya G
Журнал: International Journal of Information Technology and Computer Science(IJITCS) @ijitcs
Статья в выпуске: 10 Vol. 4, 2012 года.
Бесплатный доступ
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.
Clustering, Classification, Social Networking Sites, Text Summarization, Text Analysis
Короткий адрес: https://sciup.org/15011768
IDR: 15011768
Список литературы A Text Analysis Based Seamless Framework for Predicting Human Personality Traits from Social Networking Sites
- Thomas W.M “Data Mining and Text Mining-A Business Applications Approach”, Pearson Education, 2008, pp103-123.
- Pang-Ning T, Michael S, Vipin K, “ Introduction to Data Mining” Published by Addison Wesley, ed 2005
- http://en.wikipedia.org/wiki/Natural_Language_Processing
- http://en.wikipedia.org/wiki/WordNet
- http://computer.howstuffworks.com/web-302.htm
- http://wordnet.princeton.edu/wordnet/
- George A. Miller “WordNet: A Lexical Database for English”. Communications of the ACM vol.38, no.11, 1995, pp 39-41.
- http://comminfo.rutgers.edu/~msharp/text_mining.html
- Sonia H, Jairo A. Laura M, Andrian M “ On the use of automated text summarization techniques for summarizing source code”, In proc. Of 17th Working Conf. on Reverse Engineering, 2010, pp35-44.
- Jose S, Thomas M “ Understanding and Predicting Human Behavior for Social Communities”, In handbook of Springerlink Social Network Technologies and Applications, 2010, part 3, pp 427-445.
- Jayfun K, Barla C, Cevdet A, Fazli C “ Chat Mining for Gender Prediction” In Springer-Verlag LNCS 4243, pp 274-283, 2006.
- Jayfun K, Barla C, Cevdet A, Fazli C “Chat Mining: Predicting user and message attributes in computer-mediated communication” In J. of Information Processing and Management, Vol 44, issue 4, july 2008, pp 1448-1466.
- Hariharan S, Aashika Rani K.R “Gender Prediction in chat based medium’s using text mining” In Intl. j. of Research and reviews in Information Sciences, Vol.1, no. 1, March 2011, pp 18-22.
- Mats D “ Automatic Prediction of gender political affiliation and age in Swedish politicians from the wordings of their speeches- A comparative study of classifiability”, In Oxford J. of Literary and Linguistic Computing, Vol 27, issue 2, pp: 139-153.
- Shitala P, Vivek S, Akshay S “ Handwritining Analysis based on Segmentation Method for Prediction of Human Personality using Support Vector Machine” In Intl. J. of Computer Applications, Vol 8, no. 12, Oct 2012.
- Robert S. Feldman “Understanding Psychology” Published by McGraw-Hill, 6/e.
