Cross-modality fusion with EEG and text for enhanced emotion detection in English writing by Jing Wang, Ci Zhang

“…Traditional approaches to emotion detection primarily leverage textual features, using natural language processing techniques such as sentiment analysis, which, while effective, may miss subtle nuances of emotions. …”
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A Hybrid KAN-BiLSTM Transformer with Multi-Domain Dynamic Attention Model for Cybersecurity by Aleksandr Chechkin, Ekaterina Pleshakova, Sergey Gataullin

“…One of the areas with such potential is the application of natural language processing (NLP) and artificial intelligence (AI). …”
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Do Spatial Trajectories of Social Media Users Imply the Credibility of the Users’ Tweets During Earthquake Crisis Management? by Ayse Giz Gulnerman

“…Traditional content filtering methods rely on natural language processing (NLP), which underperforms with mixed-language posts or less widely spoken languages. …”
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Transformer-Based Single-Cell Language Model: A Survey by Wei Lan, Guohang He, Mingyang Liu, Qingfeng Chen, Junyue Cao, Wei Peng

“…The transformers have achieved significant accomplishments in the natural language processing as its outstanding parallel processing capabilities and highly flexible attention mechanism. …”
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Using text embeddings for deductive qualitative research at scale in physics education by Tor Ole B. Odden, Halvor Tyseng, Jonas Timmann Mjaaland, Markus Fleten Kreutzer, Anders Malthe-Sørenssen

“…Using a natural language processing technique known as text embeddings, we create vector-based representations of texts in a high-dimensional meaning space within which it is possible to quantify differences in meaning as vector distances. …”
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Bangla-REX: A distinct dataset for Bangla relation extractionOriginal data by Nishat Tasnim, Asraf Ullah Rahat, Tanjim Taharat Aurpa, Md Musfique Anwar

“…Bangla REX is a valuable resource for researchers and practitioners in natural language processing, offering standardized benchmarks and detailed annotations to advance relation extraction techniques for Bangla. …”
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An Adaptive Variable-Weight Combination Forecasting Method for Energy Product Sales Based on Meta-Learning by Meitian Wang

“…Firstly, a comprehensive and scientific feature system is constructed by combining natural language processing and statistical measurement method. …”
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A comprehensive evaluation of oversampling techniques for enhancing text classification performance by Salimkan Fatma Taskiran, Bahaeddin Turkoglu, Ersin Kaya, Tunc Asuroglu

“…The results provide practical insights into the selection of oversampling techniques tailored to dataset characteristics and classifier sensitivity, supporting more robust and fair learning in imbalanced natural language processing tasks.…”
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Firefly Algorithm based Feature Selection for Arabic Text Classification by Souad Larabi Marie-Sainte, Nada Alalyani

“…Keywords: Arabic Natural Language Processing, Feature Selection, Firefly optimization method, Text Classification…”
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AI Applications in Supply Chain Management: A Survey by Adamos Daios, Nikolaos Kladovasilakis, Athanasios Kelemis, Ioannis Kostavelis

“…AI technologies such as Machine Learning, Natural Language Processing and Generative AI offer transformative solutions to streamline logistics, reduce operational risk and improve demand forecasting. …”
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Big Data Analytics in IoT, social media, NLP, and information security: trends, challenges, and applications by Kamal Taha

“…Abstract This paper presents a comprehensive, domain-specific survey and experimental evaluation of machine learning techniques for Big Data Analytics across four critical domains: IoT, Social Media, Natural Language Processing (NLP), and Information Security. A novel taxonomic framework is introduced to classify and analyze the suitability of algorithms based on empirical, experimental, and computational perspectives. …”
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Artificial intelligence-based risk management for the banking sector: impact and challenges by L.A. Kuanova, A.N. Otegen, G.K. Kenzhegulova, P. Karacsony

“…The research focuses on how machine learning, natural language processing, and predictive analytics enhance credit scoring, fraud detection, and regulatory compliance. …”
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An ensemble deep learning model for author identification through multiple features by Yuan Zhang

“…Abstract One of the challenges in the natural language processing is authorship identification. The proposed research will improve the accuracy and stability of authorship identification by creating a new deep learning framework that combines the features of various types in a self-attentive weighted ensemble framework. …”
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Mechanical performance dataset for alloy with applications at low temperatures by Haoxuan Tang, Zhiyuan Chen, Xin Yao, Zhiping Xu

“…The dataset construction workflow incorporates automated extraction using state-of-the-art machine learning and natural language processing techniques, supplemented by manual inspection and correction to improve data extraction efficiency and ensure dataset quality. …”
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A Benchmark Dataset and a Framework for Urdu Multimodal Named Entity Recognition by Hussain Ahmad, Qingyang Zeng, Jing Wan

“…The emergence of multimodal content, particularly text and images on social media, has positioned Multimodal Named Entity Recognition (MNER) as an increasingly important area of research within Natural Language Processing. Despite progress in high-resource languages such as English, MNER remains underexplored for low-resource languages like Urdu. …”
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Transforming dental diagnostics with artificial intelligence: advanced integration of ChatGPT and large language models for patient care by Masoumeh Farhadi Nia, Mohsen Ahmadi, Mohsen Ahmadi, Elyas Irankhah

“…Artificial intelligence has dramatically reshaped our interaction with digital technologies, ushering in an era where advancements in AI algorithms and Large Language Models (LLMs) have natural language processing (NLP) systems like ChatGPT. This study delves into the impact of cutting-edge LLMs, notably OpenAI's ChatGPT, on medical diagnostics, with a keen focus on the dental sector. …”
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Neuroanatomy, episodic memory and inhibitory control of Persian-Kurdish simultaneous bilinguals by Samira Golshani, Olga Kepinska, Hamid Gholami, Narly Golestani

“…Abstract We assessed simultaneous bilinguals and monolinguals on inhibitory control and episodic memory, and assessed their grey matter volumes in brain regions known to be involved in language processing, executive control and memory. Bilinguals outperformed monolinguals on episodic memory, and performance on the memory and inhibition tasks were correlated, only in the bilingual group. …”
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Mapping The Ethical Discourse in Generative Artificial Intelligence: A Topic Modeling Analysis of Scholarly Communication by Georgios P. Georgiou

“…Using a natural language processing method, the analysis identified ten distinct topics that were subsequently synthesized into six overarching macrotopics related to ethics in GenAI: (1) education and learning, (2) bias, frameworks, and legal compliance, (3) cybersecurity, governance, and risks, (4) social impact and sustainability, (5) digital transformation and emerging tech, and (6) academic research and writing. …”
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Sentiment Analysis of Tweets Using Supervised Machine Learning Techniques Based on Term Frequency by Deepti Aggarwal, Vikram Bali, Abhishek Agarwal, Kshitiz Poswal, Madhav Gupta, Abhishek Gupta

“…Sentiment analysis of the text uses Natural language processing, a machine learning technique to tell the orientation of opinion of a piece of text. …”
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Data Augmentation For Sorani Kurdish News Headline Classification Using Back-Translation And Deep Learning Model by Soran Badawi

“…The findings suggest that the combination of back-translation and a proposed BiLSTM model is a promising approach for data augmentation in low-resource languages, contributing to the advancement of natural language processing in under-resourced languages. Moreover, having a Kurdish news headline classification model can improve access to news and information for Kurdish speakers. …”
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