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Sreenivasulu Madichetty

Biographic Data

ID1754908
NAMESreenivasulu Madichetty
GIVEN NAMESSreenivasulu
FAMILY NAMEMadichetty
SIGNATUREMADICHETTY S
AFFILIATIONSNational Institute of Technology Tiruchirappalli
ORCID0000-0002-5249-3631
VERIFIEDYes
TOTAL WORKS3
TOTAL CITATIONS4
AUTHOR COUNT3
EDITOR COUNT0
FIRST PUBLICATION YEAR2019
LATEST PUBLICATION YEAR2021
H-INDEX1
  • A Neural-Based Approach for Detecting the Situational Information From Twitter During Disaster

    Open Access•Sreenivasulu Madichetty, Sridevi M et al.•ARTICLE•IEEE Transactions on Computational…•2021

    Twitter is widely considered an essential social media used during a disaster. For the past five years, there has been a great surge in the use of Twitter during the disaster. A large amount of useful information is posted on Twitter during an emergency, along with the users' sympathies and opinions. Therefore, a reliable methodology is needed for extracting useful information from the posted tweets during the disaster. This article is focused on…

  • Identification of medical resource tweets using Majority Voting-based Ensemble during disaster

    Open Access•Sreenivasulu Madichetty, Sridevi M et al.•ARTICLE•Social Network Analysis and Mining•2020•References: 30

  • Disaster damage assessment from the tweets using the combination of statistical features and informative words

    Open Access•Sreenivasulu Madichetty, M Sridevi et al.•ARTICLE•Social Network Analysis and Mining•2019•Cited by: 4•References: 16

  • Disaster damage assessment from the tweets using the combination of statistical features and informative words

    Open Access•Sreenivasulu Madichetty, M Sridevi et al.•ARTICLE•Social Network Analysis and Mining•2019•Cited by: 4•References: 16

  • Disaster damage assessment from the tweets using the combination of statistical features and informative words

    Open Access•Sreenivasulu Madichetty, M Sridevi et al.•ARTICLE•Social Network Analysis and Mining•2019•Cited by: 4•References: 16

  • Identification of medical resource tweets using Majority Voting-based Ensemble during disaster

    Open Access•Sreenivasulu Madichetty, Sridevi M et al.•ARTICLE•Social Network Analysis and Mining•2020•References: 30

  • A Neural-Based Approach for Detecting the Situational Information From Twitter During Disaster

    Open Access•Sreenivasulu Madichetty, Sridevi M et al.•ARTICLE•IEEE Transactions on Computational…•2021

    Twitter is widely considered an essential social media used during a disaster. For the past five years, there has been a great surge in the use of Twitter during the disaster. A large amount of useful information is posted on Twitter during an emergency, along with the users' sympathies and opinions. Therefore, a reliable methodology is needed for extracting useful information from the posted tweets during the disaster. This article is focused on…

Artificial Intelligence (3 works) · Computer Science (3 works) · Public Relations and Crisis Communication (3 works) · Machine learning (2 works) · Misinformation and Its Impacts (2 works) · Sentiment Analysis and Opinion Mining (2 works) · Situation awareness (2 works) · Situational ethics (2 works) · Social media (2 works) · World Wide Web (2 works)

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