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Deepali Joshi

Biographic Data

ID3782229
NAMEDeepali Joshi
GIVEN NAMESDeepali
FAMILY NAMEJoshi
SIGNATUREJOSHI D
AFFILIATIONSDepartment of Technology Savitribai Phule Pune University India
ORCID0000-0002-8832-9294
VERIFIEDNo
TOTAL WORKS1
TOTAL CITATIONS1
AUTHOR COUNT1
EDITOR COUNT0
FIRST PUBLICATION YEAR2023
LATEST PUBLICATION YEAR2023
H-INDEX1
  • Tracing prodromal behaviour by analysing data patterns from social media with ensemble machine learning approach

    Open Access•Deepali Joshi, Manasi Patwardhan•ARTICLE•International Social Science…•2023•Cited by: 1•References: 38

    This paper presents a novel solution for tracing prodromal behaviour of Twitter users for early detection and prevention of mental illness. A very large number of people are using Twitter to share their daily happenings. This is creating a rich source of data portraying individual behaviour. Machine learning can be used to screen individual users who show prodromal behavioural change over a period and need to consult a psychiatrist. The system co…

  • Tracing prodromal behaviour by analysing data patterns from social media with ensemble machine learning approach

    Open Access•Deepali Joshi, Manasi Patwardhan•ARTICLE•International Social Science…•2023•Cited by: 1•References: 38

    This paper presents a novel solution for tracing prodromal behaviour of Twitter users for early detection and prevention of mental illness. A very large number of people are using Twitter to share their daily happenings. This is creating a rich source of data portraying individual behaviour. Machine learning can be used to screen individual users who show prodromal behavioural change over a period and need to consult a psychiatrist. The system co…

  • Tracing prodromal behaviour by analysing data patterns from social media with ensemble machine learning approach

    Open Access•Deepali Joshi, Manasi Patwardhan•ARTICLE•International Social Science…•2023•Cited by: 1•References: 38

    This paper presents a novel solution for tracing prodromal behaviour of Twitter users for early detection and prevention of mental illness. A very large number of people are using Twitter to share their daily happenings. This is creating a rich source of data portraying individual behaviour. Machine learning can be used to screen individual users who show prodromal behavioural change over a period and need to consult a psychiatrist. The system co…

Artificial Intelligence (1 works) · Artificial Intelligence (1 works) · Big data (1 works) · Cluster analysis (1 works) · Complex Network Analysis Techniques (1 works) · Computer Science (1 works) · Data mining (1 works) · Data science (1 works) · Ensemble learning (1 works) · Lexicon (1 works)

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