T Furuta et al., J Pai n Relief 2016, 5:3(Suppl) http://dx.doi.org/10.4172/2167-0846.C1.006
International Conference on
Fibromyalgia and Chronic Pain (June 15-16, 2016 Philadelphia, FeelCalc: a novel machine learning and data driven platform for the social web Santosh Kalwar, Doctor of Science in Technology Founder & CEO Unelma Platforms, Espoo, Finland
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Abstract (300 word limit) Since 1990's the Internet has played the dominant role in the advancement of the modern world [1, 2]. With significant progress, also comes great responsibility for Artificial Intelligence (AI) and machine learning (ML) community. Moreover, human behavior on the Internet is often overlooked and is sometimes neglected by the corporate giants as they work in the best interest of their stockholders, not in the best interest of the ordinary people [4, 7]. As we are in an era of AI and ML we need to think carefully what type of platforms and system should we develop not for ourselves but the future generation? There is the enormous problem at stake academically: how can we optimize and strengthen the ML and data-driven platform for the social web that understands human emotions and feelings? To tackle this challenging problem, we have been developing the FeelCalc module [2, 3] over several years.
Our initial experiment with the development of FeelCalc module Figure 1: The result showing Personality traits, which was analyzed using FeelCalc module started on Facebook [5], which is one of the most popular platforms of the social web. In this experiment, which ran over the course of Recent Publications (minimum 5) several years, we analyzed user characteristics and user profile information through data mining, predictive analysis and ML using 1. Kelly, Kevin (2005). "We are the Web." Wired magazine 13.8: 113-123. the Facebook platform. We used the ML API provided by IBM Watson. More importantly, the personal insights and natural 2. Kalwar, S.K. (2014) Conceptualizing and Measuring Human language understanding [6] were used in this experiment. Anxiety On the Internet. Lappeenranta University of Technology. 3. S. Kalwar, K. Heikkinen and J. Porras (2011), "Measuring user reaction to reduce Internet anxiety," IEEE Symposium on Computers & Informatics, Kuala Lumpur, 2011, pp. 738-742. doi: 10.1109/ISCI.2011.5959009
The result of the FeelCalc module together with ML and AI algorithms implemented shows that it can precisely predict not just the psychophysiological elements (e.g., personality predications, ethnic, cultural and religious orientation) but also human emotions and feelings (e.g. sentiment analysis: positive, negative and neutral feelings) and also gives evidence of how our human behavior on the Internet is progressing.
4. Tarran, B. (2018). What can we learn from the Facebook— Cambridge Analytica scandal?. Significance, 15(3), 4-5. 5. Facebook, Available at: https://www.facebook.com 6. IBM Watson, Natural Language Understanding, Available at: https://natural-language-understanding-demo.ng.bluemix.net/\
In the context of user scenario, the result of the FeelCalc module gives the compelling prediction and shows what the social web such as Facebook thinks about the anonymized user Johnny, i.e., the FeelCalc module predicts and shows: Johnny is a laid back male, who is mostly liberal and who does not eat out frequently and doesn't prefer going out for shopping and most likely uses credit card to make purchases, and is less satisfied in life than his friends, but is highly intelligent and is also considering starting a business in next few months.
7. Guzdial, M., & Landau, S. (2018). Programming programming languages, and analyzing Facebook's failure. Communications of the ACM, 61(6), 8-9.
J Pain Relief ISSN: 2167-0846 JPAR an open access journa
Fibromyalgia 2016 June 15-16, 2016
Volume 5, Issue 3(Suppl) Page 40
T Furuta et al., J Pai n Relief 2016, 5:3(Suppl) http://dx.doi.org/10.4172/2167-0846.C1.006
International Conference on
Fibromyalgia and Chronic Pain (June 15-16, 2016 Philadelphia,
Biography (150 word limit) Santosh Kalwar was born in Chitwan, Nepal, in 1982. He received the B.E. Degree in computer science and engineering from the Visvesvaraya Technological University (VTU), Bangalore, India, in 2006, and MSc. (Tech), D.Sc. (Tech.) degrees in Human-Computer Interaction (HCI) from the Lappeenranta University of Technology (LUT) Lappeenranta, Finland, in 2008 and 2014, respectively. Dr. Kalwar currently works as a Founder & CEO of Unelma Platforms, which is an international software platform development company that aims to deliver software to empower people. His current research interests include intelligent user interfaces, human-computer interaction, social computing, software engineering, artificial intelligence, and big data. Dr. Kalwar is a Member of IEEE and ACM and serves as an external expert and reviewer for several top-tier international journals, and conferences. He has received numerous grants, awards, and scholarships for his research. For more info about the author, please visit: http://kalwar.com.np
Email:
[email protected]
Contact number: Linked In Twitter
+358440561437
linkedin.com/in/santoshkalwar : @santoshkalwar
Notes/Comments: We are glad to inform you that your abstract entitled "FeelCalc: a novel machine learning and data driven platform for the social web" has been approved for Oral Presentation at our conference "6th Global Summit on Artificial Intelligence and Neural Networks" scheduled on October 15-16, 2018 in Helsinki, Finland.
J Pain Relief ISSN: 2167-0846 JPAR an open access journa
Fibromyalgia 2016 June 15-16, 2016
Volume 5, Issue 3(Suppl) Page 40
