This paper is published in Volume-5, Issue-2, 2019
Area
Information Technology
Author
Uday Pradip Patare, Abhishek Gajre, Ankita Mahajan, Pradnya Patil, Y. S. Deshmukh
Org/Univ
Sanjivani College of Engineering, Kopargaon, Maharashtra, India
Pub. Date
27 March, 2019
Paper ID
V5I2-1500
Publisher
Keywords
Event detection, LDA, HITS, Twitter

Citationsacebook

IEEE
Uday Pradip Patare, Abhishek Gajre, Ankita Mahajan, Pradnya Patil, Y. S. Deshmukh. Event detection and identification using social media data stream, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.

APA
Uday Pradip Patare, Abhishek Gajre, Ankita Mahajan, Pradnya Patil, Y. S. Deshmukh (2019). Event detection and identification using social media data stream. International Journal of Advance Research, Ideas and Innovations in Technology, 5(2) www.IJARIIT.com.

MLA
Uday Pradip Patare, Abhishek Gajre, Ankita Mahajan, Pradnya Patil, Y. S. Deshmukh. "Event detection and identification using social media data stream." International Journal of Advance Research, Ideas and Innovations in Technology 5.2 (2019). www.IJARIIT.com.

Abstract

Today Social Media plays an important role in our life. Some popular social media platform such as Facebook, Twitter etc. Using these we can be connected with each other. We Create and share the Events on social media. Events such as Earthquake, conference, News, Weather news. To detect and identify the specific event from a group of the event is the crucial task. Traditional methods are not efficient for the detecting events and it requires more human intervention and having less accuracy. Our Aim is to detect and identify the events with less human intervention and higher the accuracy using LDA, HITS method.