Amita Jain

Biographic Data

ID3806909
NAMEAmita Jain
GIVEN NAMESAmita
FAMILY NAMEJain
SIGNATUREJAIN A
AFFILIATIONSNetaji Subhas University of Technology
ORCID0000-0003-3195-0220
VERIFIEDYes
TOTAL WORKS9
TOTAL CITATIONS0
AUTHOR COUNT9
EDITOR COUNT0
FIRST PUBLICATION YEAR2001
LATEST PUBLICATION YEAR2025
H-INDEX0

  • Cup_cdlstm

    Open AccessPratima Singh, Amita JainARTICLEIEEE Transactions on Computational…2025

    Civil unrest, a major trouble in the country's progress, requires timely detection and prevention. It causes numerous major issues, including loss of life and injury, resource depletion, political instability, and violations of human rights. Automating the early warning civil unrest event prediction with social media data becomes critically important. Existing baseline methods through text datasets obtained from social media have shown promising …

  • Cdme-Gat

    Open AccessMinni Jain, Siddh Jain et al.ARTICLEIEEE Transactions on Computational…2024

    Depression, a prevalent mental health concern, requires timely identification and intervention. Automating the early stage identification of depression cues within social media text has become critically important. Existing methods for depression identification through text obtained from social media have shown promising results; however, these methods do not address the graphlike nature of social media data. To date, there has been little work a…

  • Context-Aware Civil Unrest Event Prediction Using Neutrosophic-Aspect-Based Sentiment Analysis, PSO, and Hierarchical LSTM

    Open AccessPratima Singh, Amita JainARTICLEIEEE Transactions on Computational…2024

    Civil unrest is among the important hurdles in the countries’ progress as it deteriorates gross domestic product (GDP), international relations, foreign direct investment (FDI), globalization, public opinion, tourism, and businesses. Due to civil unrest a variety of serious problems, viz. loss of life/injury, resources, political stability, and human rights occur. Recently, few researchers have given insights on the prediction of occurrences of c…

  • Burnout among surgeons before and during the Sars-CoV-2 pandemic

    Open AccessMostafa Shalaby, Ahmed M ElSheikh et al.ARTICLEBMC Psychology2024

    The study was registered on clicaltrials.gov "NCT04433286" on 16/06/2020

  • Pan-India influenza-like illness (ILI) and Severe acute respiratory infection (Sari) surveillance

    Open AccessVarsha Potdar, Neetu Vijay et al.ARTICLEFrontiers in Public Health2023

    Background: Over time, COVID-19 testing has significantly declined across the world. However, it is critical to monitor the virus through surveillance. In late 2020, WHO released interim guidance advising the use of the existing Global Influenza Surveillance and Response System (GISRS) for the integrated surveillance of influenza and SARS-CoV-2. Methods: In July 2021, we initiated a pan-India integrated surveillance for influenza and SARS-CoV-2 t…

  • Shrinking digital gap through automatic generation of WordNet for Indian languages

    Open AccessAmita Jain, Devendra K Tayal et al.ARTICLEAI & Society2015

  • Menarche and Menopause Among the Semi Nomadic Lohar Gadiyas of Malthon Town of Sagar District, Madhya Pradesh

    Open AccessAnkur Yadav, Amita Jain et al.ARTICLEJournal of Human Ecology2002

    The present paper discusses the onset of menarche and age of menopause among the Semi-nomadic Lohar Gadiya women of Malthon town of Sagar district, Madhya Pradesh. The present study is based on interview of 128 Lohar Gadiya housewives by random sampling and semiparticipant method, using pretested schedule. The findings indicate that the mean age for onset of menarche among respondents are 13.88 ± 0.109 years, whereas mean age of menopause among w…

  • Socio-demographic Characteristics of Semi-nomadic Lohar-Gadiyas of Malthon Town of Sagar District, Madhya Pradesh

    Open AccessAnkur Yadav, A N Sharma et al.ARTICLEThe Anthropologist2001

    The paper presents some aspects of the demographic characteristics of the Lohar-Gadiy as of Malthon town of Sagar district, Madhya Pradesh. The findings indicate that majority of population is illiterate and poor. The population indices are lagging behind the state population. The fertility and mortality level are high. The infant mortality rate is quite high. Acceptance of family welfare is almostnil. Under these circumstances it is highly desir…

  • The Study of Maternal Health Problems among the Semi-nomadic Lohar Gadiyas of Malthon of Sagar District, Madhya Pradesh

    Open AccessAnkur Yadav, A N Sharma et al.ARTICLEThe Anthropologist2001

    The present paper discusses the maternal health problems prevail among the semi-nomadic Lohar Gadiyas of Malthon town of Sagar district, Madhya Pradesh, India. The present study is based on interview of 128 Lohar Gadiya hou sewives by random sampling and semi-participants’ method using structured schedule. The findings indicate that majority of population is illiterate and poor. The most of the females married at higher age and faced atleast one …