Artificial Neural Network in Prognosticating Human Personality from Social Networks

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Harish Kumar V 1,* Arti Arya 1 Divyalakshmi V 2 Nishanth H S 3

1. PESIT South Campus, Bangalore, India

2. Wipro Technologies, Bangalore, India

3. Monsanto Holdings Pvt Ltd

* Corresponding author.


Received: 10 May 2013 / Revised: 2 Jun. 2013 / Accepted: 5 Jul. 2013 / Published: 8 Aug. 2013

Index Terms

Neural Networks, Social Network Text Analysis, Text Mining, Wordnet


The analysis of text in the form of tweets, chat or posts can be an interesting as well as challenging area of research. In this paper, such an analysis provides information about the human behavior as positive, negative or neutral. For simplicity, tweets from social networking site, Twitter, are extracted for analyzing human personality. Various concepts from natural language processing, text mining and neural networks are used to establish the final outcome of the application. For analyzing text, Neural Networks are implemented which are so modeled that they predict the Human behavior as positive, negative or neutral based on extracted and preprocessed data. Using Neural Networks, the particular pattern is identified and weights are provided to words based on the extracted pattern.Neural networks have an added advantage of adaptive learning. This application can be immensely useful for politics, medical science, sports, matrimonial purposes etc.The results so obtained are quite promising.

Cite This Paper

Harish Kumar V, Arti Arya, Divyalakshmi V, Nishanth H S, "Artificial Neural Network in Prognosticating Human Personality from Social Networks", International Journal of Modern Education and Computer Science (IJMECS), vol.5, no.8, pp.51-57, 2013. DOI:10.5815/ijmecs.2013.08.06


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