Saltar al contenido principal

ETHNOS_APP

Inicio • Búsqueda • Revistas • Lista 0

Sreenivasulu Madichetty

Datos Biográficos

ID1754908
NOMBRESreenivasulu Madichetty
NOMBRESSreenivasulu
APELLIDOMadichetty
FIRMAMADICHETTY S
AFILIACIONESNational Institute of Technology Tiruchirappalli
ORCID0000-0002-5249-3631
VERIFICADOSí
TOTAL DE OBRAS3
TOTAL DE CITAS4
OBRAS COMO AUTOR3
OBRAS COMO EDITOR0
PRIMER AÑO DE PUBLICACIÓN2019
AÑO MÁS RECIENTE DE PUBLICACIÓN2021
ÍNDICE H1
  • 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•Referencias: 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•Citada por: 4•Referencias: 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•Citada por: 4•Referencias: 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•Citada por: 4•Referencias: 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•Referencias: 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 obras) · Computer Science (3 obras) · Public Relations and Crisis Communication (3 obras) · Machine learning (2 obras) · Misinformation and Its Impacts (2 obras) · Sentiment Analysis and Opinion Mining (2 obras) · Situation awareness (2 obras) · Situational ethics (2 obras) · Social media (2 obras) · World Wide Web (2 obras)

Ethnos_APP • Proyecto Open Source • Licencia MIT • Frontend v2.0.0 • Privacidad y Cookies • Documentación de la API: api.ethnos.app/docs • Código de la API: GitHub • DOI: 10.5281/zenodo.17049435 • Código del Frontend: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae