Call for Papers:Vol.12 Issue.1

Submission
Last date		 28-Feb-2026
Acceptance Status In One Day
Paper Publish In Two Days
Submit ManuScript

News & Updates

Submit Article

Dear Authors, Article publish in our journal for Volume-12,Issue-1. For article submission on below link: Submit Manuscript


Join As Board

Dear Reviewer, You can join our Reviewer team without given any charges in our journal. Submit Details on below link: Join As Board


Paper Publication Charges

IJARIIE APP
Download Android App

For Authors

Archives

IJARIIE Board

Downloads

Android App

Download IJARIIE APP

Authors

Title: :  Tweet Analysis For Real-Time Natural Calamity
PaperId: :  1704
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 2 Issue 2 2016
DUI:    16.0415/IJARIIE-1704
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
Ganesh ShindePravara Rural Engineering College, Loni,Maharastra,India
Vineet JadhavPravara Rural Engineering College, Loni,Maharastra,India
Ganesh bhakarePravara Rural Engineering College, Loni,Maharastra,India

Abstract

Computer Engineering
Text Mining , Tweets, Event Detection, and Location Estimation etc..
Twitter has much popular recently. It has attracted number of users to share the information and communication to each other. It produces the large amount of data every day. An important characteristic of Twitter is its real-time nature. The system investigates the real-time interaction of events such as natural calamity using Twitter and proposes an algorithm to control tweets and to detect a target event. To detect a target event, system divides a classifier of tweets depends on features such as the keywords in a tweet, the number of words, and their context. Subsequently, system to form a probabilistic spatiotemporal model for the target event that can find the center of the event location. System regard every Twitter user as a sensor and apply particle filtering, which are widely used for location estimation. The particle filter works better than other various methods for estimating the locations of target events. As an application, system develops the natural calamity reporting system for use in no of country. Because of the number of natural calamity and the so many number of Twitter users throughout the country, system can detect the natural calamity with high probability. Merely by monitoring tweets, Our system detects natural the calamity promptly and notification is delivered much faster.

Citations

Copy and paste a formatted citation or use one of the links to import into a bibliography manager and reference.

IJARIIE Ganesh Shinde, Vineet Jadhav, and Ganesh bhakare. "Tweet Analysis For Real-Time Natural Calamity" International Journal Of Advance Research And Innovative Ideas In Education Volume 2 Issue 2 2016 Page 211-214
MLA Ganesh Shinde, Vineet Jadhav, and Ganesh bhakare. "Tweet Analysis For Real-Time Natural Calamity." International Journal Of Advance Research And Innovative Ideas In Education 2.2(2016) : 211-214.
APA Ganesh Shinde, Vineet Jadhav, & Ganesh bhakare. (2016). Tweet Analysis For Real-Time Natural Calamity. International Journal Of Advance Research And Innovative Ideas In Education, 2(2), 211-214.
Chicago Ganesh Shinde, Vineet Jadhav, and Ganesh bhakare. "Tweet Analysis For Real-Time Natural Calamity." International Journal Of Advance Research And Innovative Ideas In Education 2, no. 2 (2016) : 211-214.
Oxford Ganesh Shinde, Vineet Jadhav, and Ganesh bhakare. 'Tweet Analysis For Real-Time Natural Calamity', International Journal Of Advance Research And Innovative Ideas In Education, vol. 2, no. 2, 2016, p. 211-214. Available from IJARIIE, http://ijariie.com/AdminUploadPdf/Tweet_Analysis_For_Real_Time_Natural_Calamity_ijariie1704.pdf (Accessed : ).
Harvard Ganesh Shinde, Vineet Jadhav, and Ganesh bhakare. (2016) 'Tweet Analysis For Real-Time Natural Calamity', International Journal Of Advance Research And Innovative Ideas In Education, 2(2), pp. 211-214IJARIIE [Online]. Available at: http://ijariie.com/AdminUploadPdf/Tweet_Analysis_For_Real_Time_Natural_Calamity_ijariie1704.pdf (Accessed : )
IEEE Ganesh Shinde, Vineet Jadhav, and Ganesh bhakare, "Tweet Analysis For Real-Time Natural Calamity," International Journal Of Advance Research And Innovative Ideas In Education, vol. 2, no. 2, pp. 211-214, Mar-App 2016. [Online]. Available: http://ijariie.com/AdminUploadPdf/Tweet_Analysis_For_Real_Time_Natural_Calamity_ijariie1704.pdf [Accessed : ].
Turabian Ganesh Shinde, Vineet Jadhav, and Ganesh bhakare. "Tweet Analysis For Real-Time Natural Calamity." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 2 number 2 ().
Vancouver Ganesh Shinde, Vineet Jadhav, and Ganesh bhakare. Tweet Analysis For Real-Time Natural Calamity. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2016 [Cited : ]; 2(2) : 211-214. Available from: http://ijariie.com/AdminUploadPdf/Tweet_Analysis_For_Real_Time_Natural_Calamity_ijariie1704.pdf
BibTex EndNote RefMan RefWorks

Number Of Downloads



Save in Google Drive

Similar-Paper

TitleArea of ResearchAuther NameAction
Unsupervised Contribution-Oriented Learning Model for Social Influence DetectionComputer EngineeringSnehal Mahjaan Download
DESIGN AND IMPLEMENTATION OF A BLUETOOTH-CONTROLLED ROBOTIC CAR USING ARDUINOComputer Mr. Swapnil Sanjay Bafana Download
AI-DRIVEN DEEPFAKE IDENTIFICATION IN REAL TIMEComputer EngineeringPavan Gajanan Bhonde Download
RESQ-BOTComputer Engineering Tiparkar Prathamesh Navnath Download
A Critical Review and Modern Contextualization of the 2009 Distributed Real-Time Computer Network Architecture (DRNA)Computer EngineeringNandishwar EN Download
Block-Chain Based Document Verification System using IPFSComputer EngineeringAkash Santosh Devade Download
A COMPREHENSIVE REVIEW OF DUAL FEATURE-BASED INTRUSION DETECTION SYSTEM FOR IoT NETWORK SECURITYComputer Science and EngineeringShrinidhi Hegde Download
A Deep Learning Framework for Mood-Based Music Recommendation via Facial Expression AnalysisComputer Vaibhav Ashok Bhangare Download
GREEN NETWORKING: ENERGY-EFFICIENT PROTOCOLS AND SUSTAINABLE NETWORK DESIGN: A COMPREHENSIVE REVIEWComputer Science and EngineeringPradeep Nayak Download
DIABETIC RETINOPATHY DETECTION USING MACHINE LEARNINGComputer EngineeringSiddharth Shukracharya Rokade Download
PERSONALITY PREDICTION USING MLComputer EngineeringTanvi Dashrath Bhagat Download
Crop Disease Detectioncomputer Mansi Sunil Sansare Download
NEXT-GEN PLANT DISEASE DIAGNOSIS WITH GEN-AI AND DEEP LEARNINGComputer ScienceGuruprasad K Download
GEN-AI POWERED PIGEON PEA LEAF-DISEASE DETECTION USING DEEP-LEARNING AND COMPUTER-VISIONComputer ScienceRajshekar G Download
GEN-AI POWERED LIVER-DISEASE DETECTION USING DEEP-LEARNING AND COMPUTER-VISIONComputer ScienceDhananjay M Download
12