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Akanksha Tiwari

Biographic Data

ID8967837
NAMEAkanksha Tiwari
GIVEN NAMESAkanksha
FAMILY NAMETiwari
SIGNATURETIWARI A
VERIFIEDNo
TOTAL WORKS2
TOTAL CITATIONS0
WORKS AS AUTHOR2
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2026
LATEST PUBLICATION YEAR2026
H-INDEX0
  • Post-trafficking legal aid, mental health, and community reintegration among brick kiln workers in India

    Akanksha Tiwari, Prakash Chandra Mishra•ARTICLE•International Journal of Public…•2026

  • Context-Aware Natural Language Processing and Deep Learning System for Emotion Recognition in Human-Computer Interaction

    Open Access•Ritu Shree, Romil Jain et al.•ARTICLE•ShodhKosh: Journal of Visual and…•2026

    Emotion recognition in human–computer interaction (HCI) is a complex yet essential task with wide-ranging applications in mental health monitoring, intelligent systems, and user experience enhancement. This research proposes a context-aware Natural Language Processing (NLP) and deep learning-based framework for accurate detection of emotional states (ES) from human communication. Unlike traditional approaches that rely solely on acoustic or lexic…

No prominent works on this page.

  • Post-trafficking legal aid, mental health, and community reintegration among brick kiln workers in India

    Akanksha Tiwari, Prakash Chandra Mishra•ARTICLE•International Journal of Public…•2026

  • Context-Aware Natural Language Processing and Deep Learning System for Emotion Recognition in Human-Computer Interaction

    Open Access•Ritu Shree, Romil Jain et al.•ARTICLE•ShodhKosh: Journal of Visual and…•2026

    Emotion recognition in human–computer interaction (HCI) is a complex yet essential task with wide-ranging applications in mental health monitoring, intelligent systems, and user experience enhancement. This research proposes a context-aware Natural Language Processing (NLP) and deep learning-based framework for accurate detection of emotional states (ES) from human communication. Unlike traditional approaches that rely solely on acoustic or lexic…

Brick (1 work) · Corporate governance (1 work) · Deep learning (1 work) · Emotion and Mood Recognition (1 work) · Hydropower, Displacement, Environmental Impact (1 work) · Kiln (1 work) · Mental Health via Writing (1 work) · Mining and Resource Management (1 work) · Natural language (1 work) · Prosody (1 work)

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