Ehtesham Hashmi
About
In my pursuit as a PhD researcher, I focus on detecting hate speech across different languages, using methodologies that prioritize privacy and ethical standards. Understanding that hate speech manifests in diverse forms such as misogyny, racism, cyberbullying, xenophobia, and ableism, my work aims to develop nuanced detection tools that are sensitive to the specificities of each form. My research utilizes the capabilities of Large Language Models (LLMs) and diffusion models to address the significant challenge of interpreting and integrating multimodal data. With a robust background in Computer Science and Artificial Intelligence, my expertise in Multilingual Natural Language Processing, Machine Learning, Advanced Data Mining, and Explainable AI informs my study of language semantics and its impacts. I am committed to pushing the boundaries of the field by creating solutions that enhance security in digital communications while upholding the dignity and respect of individuals worldwide.
Research
Publications
2024
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Hashmi, Ehtesham;
Yildirim-Yayilgan, Sule.
(2024)
Multi-class hate speech detection in the Norwegian language using FAST-RNN and multilingual fine-tuned transformers.
Complex & Intelligent Systems
Academic article
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Ali, Hashir;
Hashmi, Ehtesham;
Yildirim-Yayilgan, Sule;
Shaikh, Sarang.
(2024)
Analyzing Amazon Products Sentiment: A Comparative Study of Machine and Deep Learning, and Transformer-Based Techniques.
Electronics
Academic article
-
Hashmi, Ehtesham;
Yildirim-Yayilgan, Sule;
Shaikh, Sarang.
(2024)
Augmenting sentiment prediction capabilities for code-mixed tweets with multilingual transformers.
Social Network Analysis and Mining
Academic article
-
Hashmi, Ehtesham;
Yildirim-Yayilgan, Sule;
Yamin, Muhammad Mudassar;
Ali, Subhan;
Abomhara, Mohamed Ali Saleh.
(2024)
Advancing Fake News Detection: Hybrid Deep Learning With FastText and Explainable AI.
IEEE Access
Academic article
Journal publications
-
Hashmi, Ehtesham;
Yildirim-Yayilgan, Sule.
(2024)
Multi-class hate speech detection in the Norwegian language using FAST-RNN and multilingual fine-tuned transformers.
Complex & Intelligent Systems
Academic article
-
Ali, Hashir;
Hashmi, Ehtesham;
Yildirim-Yayilgan, Sule;
Shaikh, Sarang.
(2024)
Analyzing Amazon Products Sentiment: A Comparative Study of Machine and Deep Learning, and Transformer-Based Techniques.
Electronics
Academic article
-
Hashmi, Ehtesham;
Yildirim-Yayilgan, Sule;
Shaikh, Sarang.
(2024)
Augmenting sentiment prediction capabilities for code-mixed tweets with multilingual transformers.
Social Network Analysis and Mining
Academic article
-
Hashmi, Ehtesham;
Yildirim-Yayilgan, Sule;
Yamin, Muhammad Mudassar;
Ali, Subhan;
Abomhara, Mohamed Ali Saleh.
(2024)
Advancing Fake News Detection: Hybrid Deep Learning With FastText and Explainable AI.
IEEE Access
Academic article