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Title: :  Active Online Learning for Social Media Analysis to Support Crisis Management.
PaperId: :  19750
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 9 Issue 2 2023
DUI:    16.0415/IJARIIE-19750
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
Pramod P. GadekarPadmashri Dr. Vitthalrao Vikhe Patil Institute of Technology and Engineering, Loni
Pallavi Annasaheb WadekarPadmashri Dr. Vitthalrao Vikhe Patil Institute of Technology and Engineering, Loni
Rohit Annasaheb DivarePadmashri Dr. Vitthalrao Vikhe Patil Institute of Technology and Engineering, Loni
Thosar Kshitij LaxmanPadmashri Dr. Vitthalrao Vikhe Patil Institute of Technology and Engineering, Loni
Akshay Kisan KalePadmashri Dr. Vitthalrao Vikhe Patil Institute of Technology and Engineering, Loni

Abstract

Computer Engineering
Online Learning, Multiple Prototype Classification, Active Learning, Social Media, Crisis Management
People use social media (SM) to describe and discuss different situations they are involved in, like crises. It is therefore worthwhile to exploit SM contents to support crisis management, in particular by revealing useful and unknown information about the crises in real-time. Hence, we propose a novel active online multiple-prototype classifier, called AOMPC. It identifies relevant data related to a crisis. AOMPC is an online learning algorithm that operates on data streams and which is equipped with active learning mechanisms to actively query the label of ambiguous unlabeled data. The number of queries is controlled by a fixed budget strategy. Typically, AOMPC accommodates partly labeled data streams. AOMPC was evaluated using two types of data: (1) synthetic data and (2) SM data from Twitter related to two crises, Colorado Floods and Australia Bushfires. To provide a thorough evaluation, a whole set of known metrics was used to study the quality of the results. Moreover, a sensitivity analysis was conducted to show the effect of AOMPC’s parameters on the accuracy of the results. A comparative study of AOMPC against other available online learning algorithms was performed. The experiments showed very good behavior of AOMPC for dealing with evolving, partly-labeled data streams.

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IJARIIE Pramod P. Gadekar, Pallavi Annasaheb Wadekar, Rohit Annasaheb Divare, Thosar Kshitij Laxman, and Akshay Kisan Kale. "Active Online Learning for Social Media Analysis to Support Crisis Management." International Journal Of Advance Research And Innovative Ideas In Education Volume 9 Issue 2 2023 Page 2109-2113
MLA Pramod P. Gadekar, Pallavi Annasaheb Wadekar, Rohit Annasaheb Divare, Thosar Kshitij Laxman, and Akshay Kisan Kale. "Active Online Learning for Social Media Analysis to Support Crisis Management.." International Journal Of Advance Research And Innovative Ideas In Education 9.2(2023) : 2109-2113.
APA Pramod P. Gadekar, Pallavi Annasaheb Wadekar, Rohit Annasaheb Divare, Thosar Kshitij Laxman, & Akshay Kisan Kale. (2023). Active Online Learning for Social Media Analysis to Support Crisis Management.. International Journal Of Advance Research And Innovative Ideas In Education, 9(2), 2109-2113.
Chicago Pramod P. Gadekar, Pallavi Annasaheb Wadekar, Rohit Annasaheb Divare, Thosar Kshitij Laxman, and Akshay Kisan Kale. "Active Online Learning for Social Media Analysis to Support Crisis Management.." International Journal Of Advance Research And Innovative Ideas In Education 9, no. 2 (2023) : 2109-2113.
Oxford Pramod P. Gadekar, Pallavi Annasaheb Wadekar, Rohit Annasaheb Divare, Thosar Kshitij Laxman, and Akshay Kisan Kale. 'Active Online Learning for Social Media Analysis to Support Crisis Management.', International Journal Of Advance Research And Innovative Ideas In Education, vol. 9, no. 2, 2023, p. 2109-2113. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/Active_Online_Learning_for_Social_Media_Analysis_to_Support_Crisis_Management__ijariie19750.pdf (Accessed : ).
Harvard Pramod P. Gadekar, Pallavi Annasaheb Wadekar, Rohit Annasaheb Divare, Thosar Kshitij Laxman, and Akshay Kisan Kale. (2023) 'Active Online Learning for Social Media Analysis to Support Crisis Management.', International Journal Of Advance Research And Innovative Ideas In Education, 9(2), pp. 2109-2113IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/Active_Online_Learning_for_Social_Media_Analysis_to_Support_Crisis_Management__ijariie19750.pdf (Accessed : )
IEEE Pramod P. Gadekar, Pallavi Annasaheb Wadekar, Rohit Annasaheb Divare, Thosar Kshitij Laxman, and Akshay Kisan Kale, "Active Online Learning for Social Media Analysis to Support Crisis Management.," International Journal Of Advance Research And Innovative Ideas In Education, vol. 9, no. 2, pp. 2109-2113, Mar-App 2023. [Online]. Available: https://ijariie.com/AdminUploadPdf/Active_Online_Learning_for_Social_Media_Analysis_to_Support_Crisis_Management__ijariie19750.pdf [Accessed : ].
Turabian Pramod P. Gadekar, Pallavi Annasaheb Wadekar, Rohit Annasaheb Divare, Thosar Kshitij Laxman, and Akshay Kisan Kale. "Active Online Learning for Social Media Analysis to Support Crisis Management.." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 9 number 2 ().
Vancouver Pramod P. Gadekar, Pallavi Annasaheb Wadekar, Rohit Annasaheb Divare, Thosar Kshitij Laxman, and Akshay Kisan Kale. Active Online Learning for Social Media Analysis to Support Crisis Management.. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2023 [Cited : ]; 9(2) : 2109-2113. Available from: https://ijariie.com/AdminUploadPdf/Active_Online_Learning_for_Social_Media_Analysis_to_Support_Crisis_Management__ijariie19750.pdf
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