Classifying Informatory Tweets during Disaster Using Deep Learning

Classifying Informatory Tweets during Disaster Using Deep Learning

Micro blogging platforms like Twitter generate a wealth of information during a disaster. Data can be in the form of sound, image, text, video etc. by way of tweets. Tweets produced during a disaster are not always educational. Information tweets can provide useful information about affected people,...

Full description

Bibliographic Details
Main Authors: Bhere Pradip, Upadhyay Anand, Chaudhari Ketan, Ghorpade Tushar
Format: Article
Language:English
Published: EDP Sciences 2020-01-01
Series:ITM Web of Conferences
Online Access:https://www.itm-conferences.org/articles/itmconf/pdf/2020/02/itmconf_icacc2020_03025.pdf
id doaj-726dc4b6aa57439d9a4c877ee6e26340
record_format Article
spelling doaj-726dc4b6aa57439d9a4c877ee6e263402021-04-02T11:23:55ZengEDP SciencesITM Web of Conferences2271-20972020-01-01320302510.1051/itmconf/20203203025itmconf_icacc2020_03025Classifying Informatory Tweets during Disaster Using Deep LearningBhere Pradip0Upadhyay Anand1Chaudhari Ketan2Ghorpade Tushar3Department of Computer Engineering, Ramrao Adik Institute Of Technology, NerulDepartment of Computer Engineering, Ramrao Adik Institute Of Technology, NerulDepartment of Computer Engineering, Ramrao Adik Institute Of Technology, NerulDepartment of Computer Engineering, Ramrao Adik Institute Of Technology, NerulMicro blogging platforms like Twitter generate a wealth of information during a disaster. Data can be in the form of sound, image, text, video etc. by way of tweets. Tweets produced during a disaster are not always educational. Information tweets can provide useful information about affected people, infrastructure damage, civilized organizations etc. Studies show that when it comes to sharing emergency information during a natural disaster, time is everything. Research on Twitter use during hurricanes, floods and floods provide potentially life-saving data on how information is disseminated in emergencies. The proposed system outlines how to distinguish sensitive and non-useful tweets during a disaster. The proposed method is based on the use of Word2Vec and the Convolutional Neural Network (CNN). Word2vec provides a feature vector and CNN is used to classify tweets.https://www.itm-conferences.org/articles/itmconf/pdf/2020/02/itmconf_icacc2020_03025.pdf
collection DOAJ
language English
format Article
sources DOAJ
author Bhere Pradip
Upadhyay Anand
Chaudhari Ketan
Ghorpade Tushar
spellingShingle Bhere Pradip
Upadhyay Anand
Chaudhari Ketan
Ghorpade Tushar
Classifying Informatory Tweets during Disaster Using Deep Learning
ITM Web of Conferences
author_facet Bhere Pradip
Upadhyay Anand
Chaudhari Ketan
Ghorpade Tushar
author_sort Bhere Pradip
title Classifying Informatory Tweets during Disaster Using Deep Learning
title_short Classifying Informatory Tweets during Disaster Using Deep Learning
title_full Classifying Informatory Tweets during Disaster Using Deep Learning
title_fullStr Classifying Informatory Tweets during Disaster Using Deep Learning
title_full_unstemmed Classifying Informatory Tweets during Disaster Using Deep Learning
title_sort classifying informatory tweets during disaster using deep learning
publisher EDP Sciences
series ITM Web of Conferences
issn 2271-2097
publishDate 2020-01-01
description Micro blogging platforms like Twitter generate a wealth of information during a disaster. Data can be in the form of sound, image, text, video etc. by way of tweets. Tweets produced during a disaster are not always educational. Information tweets can provide useful information about affected people, infrastructure damage, civilized organizations etc. Studies show that when it comes to sharing emergency information during a natural disaster, time is everything. Research on Twitter use during hurricanes, floods and floods provide potentially life-saving data on how information is disseminated in emergencies. The proposed system outlines how to distinguish sensitive and non-useful tweets during a disaster. The proposed method is based on the use of Word2Vec and the Convolutional Neural Network (CNN). Word2vec provides a feature vector and CNN is used to classify tweets.
url https://www.itm-conferences.org/articles/itmconf/pdf/2020/02/itmconf_icacc2020_03025.pdf
work_keys_str_mv AT bherepradip classifyinginformatorytweetsduringdisasterusingdeeplearning
AT upadhyayanand classifyinginformatorytweetsduringdisasterusingdeeplearning
AT chaudhariketan classifyinginformatorytweetsduringdisasterusingdeeplearning
AT ghorpadetushar classifyinginformatorytweetsduringdisasterusingdeeplearning
_version_ 1724164919092314112

Similar Items