Cristin-person-ID: 1320383
Person

Sarang Shaikh

  • Stilling:
    Stipendiat
    ved Institutt for informasjonssikkerhet og kommunikasjonsteknologi ved Norges teknisk-naturvitenskapelige universitet

Resultater Resultater

Augmenting sentiment prediction capabilities for code-mixed tweets with multilingual transformers.

Hashmi, Ehtesham; Yildirim-Yayilgan, Sule; Shaikh, Sarang. 2024, Social Network Analysis and Mining. NTNUVitenskapelig artikkel

Exploring the potential of large-language models (LLMs) for student feedback sentiment analysis.

Shaikh, Sarang; Daudpotta, Sher Muhammad; Yayilgan, Sule; Sindhu, Sindhu. 2023, Exploring the potential of large-language models (LLMs) for student feedback sentiment analysis. NTNUFaglig foredrag

Analyzing Amazon Products Sentiment: A Comparative Study of Machine and Deep Learning, and Transformer-Based Techniques.

Ali, Hashir; Hashmi, Ehtesham; Yildirim-Yayilgan, Sule; Shaikh, Sarang. 2024, Electronics. UOL, NTNUVitenskapelig artikkel

Transformers In Medical Domain: Swin Transformer as a Binary Classification Model for Pneumonia.

Bhandari, Alen; Yayilgan, Sule; Shaikh, Sarang. 2024, Future of Information and Communication Conference (FICC) 2024. NTNUVitenskapelig foredrag

Assessing the Usability of ChatGPT for Formal English Language Learning.

Shaikh, Sarang; Yildirim-Yayilgan, Sule; Klimova, Blanka; Pikhart, Marcel. 2023, European Journal of Investigation in Health, Psychology and Education. NTNU, UvHKVitenskapelig artikkel
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