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Author

Mohammad A. Mahzari

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5 papers indexed here

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Review Open access Sep 2026

Emotion detection and sentiment dynamics in customer-generated reviews: A corpus-based study of Saudi Arabian food delivery applications

The rapid growth of online food delivery platforms has resulted in large volumes of user-generated feedback, creating a critical need for automated systems that can extract meaningful insights for service improvement. Traditional sentiment analysis methods mostly rely on polarity classification, which frequently falls...

Noah N. Alsager, Muhammad Shoaib Tahir, Mohammad A. Mahzari et al. · 0 citations
Open access Oct 2026

A corpus linguistics enhanced  hybrid deep learning for semantic-driven emotion detection on textual data

Corpus linguistics offers a structured approach to assess huge set of texts (corpora) to uncover language patterns, structural relationships, and semantic interpretations. Within text-based emotion recognition (TER), corpus linguistics facilitates the identification of linguistic features that show underlying emotional...

Noah N. Alsager, Mohammad A. Mahzari, H. Alsager · 0 citations
Open access Oct 2026

Context-aware bidirectional recurrent network with transformer encoding for text-based emotion detection

Emotion detection is the process of recognizing the emotional state expressed through textual content. It has become an important task in Natural Language Processing (NLP) due to the growing amount of text-based communication. Moreover, the NLP techniques help to analyze textual information and classify it into differe...

Mohammad A. Mahzari, Noah N. Alsager, A. Hilal · 0 citations
Open access Oct 2026

Modeling of corpus linguistics with semantic-aware deep neural decision forest for enhanced emotion detection from textual data

Emotion detection from textual data plays an important role in understanding the emotional content expressed through written language. Moreover, the natural language processing (NLP) provides useful techniques for analyzing textual content and identifying meaningful linguistic patterns associated with different emotion...

Noah N. Alsager, Mohammad A. Mahzari, H. Alsager · 0 citations
Open access Oct 2026

Corpus linguistic-driven hybrid feature representation learning with graph convolutional network for text-based emotion detection

This research introduces a Hybrid Attention Learning with Graph Convolutional Network for Text-Based Emotion Detection (HALGCN-TED) framework, aiming to develop a robust and automated model to improve the representation and detection of complex emotional patterns.

Mohammad A. Mahzari, Noah N. Alsager, A. Hilal · 0 citations

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