A novel framework for sentiment classification employing Bi-GRU optimized by enhanced human evolutionary optimization algorithm by Xi Wang, Samad Nourmohammadi

“…Abstract Sentiment analysis of content is highly essential for myriad natural language processing tasks. Particularly, as the movies are often created on the basis of public opinions, reviews of people have gained much attention, and analyzing sentiments has also become a crucial and demanding task. …”
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SECNN: Squeeze-and-Excitation Convolutional Neural Network for Sentence Classification by Shandong Yuan, Zili Zou, Han Zhou, Yun Ren, Jianping Wu, Kai Yan

“…Sentence classification constitutes a fundamental task in natural language processing. Convolutional Neural Networks (CNNs) have gained prominence in this domain due to their capacity to extract n-gram features through parallel convolutional filters, effectively capturing local lexical correlations. …”
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Temporal dynamics of hemispheric interactions in visual word recognition using a repetition priming paradigm: modulation by stimulus onset asynchrony by Sangyub Kim, Kichun Nam

“…IntroductionUnderstanding how the two cerebral hemispheres interact during visual word recognition is central to describing the temporal and spatial dynamics of language processing. This study examined the role of stimulus onset asynchrony (SOA) in modulating interhemispheric interactions during a primed-lateralized lexical decision task. …”
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The fluency-based semantic network of LLMs differs from humans by Ye Wang, Yaling Deng, Ge Wang, Tong Li, Hongjiang Xiao, Yuan Zhang

“…Modern Large Language Models (LLMs) exhibit complexity and granularity similar to humans in the field of natural language processing, challenging the boundaries between humans and machines in language understanding and creativity. …”
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An improved and decentralized/distributed healthcare framework for disabled people through AI models by Geetanjali Rathee, Sahil Garg, Georges Kaddoum, Samah M. Alzanin, Mohammad Mehedi Hassan

“…Furthermore, smart technologies such as the Internet of Things (IoT) and natural language processing (NLP) provide seamless data collection and analysis, allowing healthcare practitioners to provide prompt and personalized treatment. …”
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Diet Engine: A real-time food nutrition assistant system for personalized dietary guidance by Asim Moin Saad, Md. Raihanul Haque Rahi, Md. Manirul Islam, Gulam Rabbani

“…The system features modules using deep learning (DL) and Convolutional Neural Networks (CNNs) to detect food, as well as textual analysis and natural language processing (NLP) to estimate components such as nutritional content. …”
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Enabling discovery of the social determinants of health: using a specialized lens to see beyond the surface by Cynthia Sheffield, Gisela Butera, Dera Tompkins, Vence Bonham, Deborah Duran, Kimberly Middleton, Corina Galindo

“…New technologies such as natural language processing, combined with existing technologies to normalize disparate ways of describing similar or related constructs, could be used to help discover and synthesize literature related to SDoH. …”
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Enhancing sentiment and intent analysis in public health via fine-tuned Large Language Models on tobacco and e-cigarette-related tweets by Sherif Elmitwalli, John Mehegan, Allen Gallagher, Raouf Alebshehy

“…BackgroundAccurate sentiment analysis and intent categorization of tobacco and e-cigarette-related social media content are critical for public health research, yet they necessitate specialized natural language processing approaches.ObjectiveTo compare pre-trained and fine-tuned Flan-T5 models for intent classification and sentiment analysis of tobacco and e-cigarette tweets, demonstrating the effectiveness of pre-training a lightweight large language model for domain specific tasks.MethodsThree Flan-T5 classification models were developed: (1) tobacco intent, (2) e-cigarette intent, and (3) sentiment analysis. …”
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AI Knows You: Deep Learning Model for Prediction of Extroversion Personality Trait by Anam Naz, Hikmat Ullah Khan, Sami Alesawi, Omar Ibrahim Abouola, Ali Daud, Muhammad Ramzan

“…The field of AI, Natural Language Processing (NLP), helps to understand, comprehend and even generate new content. …”
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Expanding the scope: multimodal dimensions in aphasia discourse analysis—preliminary findings by Manaswita Dutta, Bijoyaa Mohapatra

“…BackgroundAphasia, resulting from acquired brain injury, disrupts language processing and usage, significantly impacting individuals’ social communication and life participation. …”
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Img2Side: A Transfer Learning Based Model for Predicting Drug Side Effects Using 2D Chemical Structural Images by Muhammad Asad Arshed, Muhammad Ibrahim, Shahzad Mumtaz, Tenvir Ali, Gyu Sang Choi

“…Previously, proposed studies for the prediction/prevention of DSEs utilized the features of 1D drug chemical structures or Natural Language Processing (NLP). Both these techniques required a complex transformation process. …”
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Telecom Fraud Recognition Based on Large Language Model Neuron Selection by Lanlan Jiang, Cheng Zhang, Xingguo Qin, Ya Zhou, Guanglun Huang, Hui Li, Jun Li

“…In the realm of natural language processing (NLP), text classification constitutes a task of paramount significance for large language models (LLMs). …”
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Journaling with large language models: a novel UX paradigm for AI-driven personal health management by Birger Moëll, Fredrik Sand Aronsson, Fredrik Sand Aronsson

“…We propose five design principles for patient-centric AI health tools: (1) decoupling core functionality from LLM dependencies, (2) layered transparency in AI outputs, (3) adaptive consent for data sharing, (4) clinician-facing data summarization, and (5) compliance-first architecture.DiscussionBy transforming unstructured patient narratives into structured insights through natural language processing, this approach demonstrates how journaling interfaces could serve as a critical middleware layer in healthcare ecosystems-empowering patients as active partners in care while preserving clinical oversight. …”
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Methodological aspects of inventory management in logistics under modern conditions by A. G. Sakharov, A. E. Trubin, O. P. Kultygin, A. Yu. Anisimov

“…The research methods included demand forecasting as an average value, as exponential smoothing, market demand assessment, study of product characteristics and cooperation in supply chains, information technology and modern management methods to improve the efficiency of inventory management and supply chain coordination, natural language processing methods that make the management process simpler and free up personnel, application of artificial intelligence to the tasks of big data analysis and predictive analytics. …”
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Dynamic Aggregation and Augmentation for Low-Resource Machine Translation Using Federated Fine-Tuning of Pretrained Transformer Models by Emmanuel Agyei, Xiaoling Zhang, Ama Bonuah Quaye, Victor Adeyi Odeh, Joseph Roger Arhin

“…Machine Translation (MT) for low-resource languages, such as Twi, remains a persistent challenge in natural language processing (NLP) due to the scarcity of extensive parallel datasets. …”
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The Exploration of Student Emotion Experience and Learning Experience in E-learning Platform by Fitra Abdurrachman Bachtiar, Riza Setiawan Soetedjo, Joseph Ananda Sugihdarma, Retno Indah Rokhmawati, Lailil Muflikhah

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Evaluating the Reliability of ChatGPT for Health-Related Questions: A Systematic Review by Mohammad Beheshti, Imad Eddine Toubal, Khuder Alaboud, Mohammed Almalaysha, Olabode B. Ogundele, Hamza Turabieh, Nader Abdalnabi, Suzanne A. Boren, Grant J. Scott, Butros M. Dahu

“…The rapid advancement of large language models like ChatGPT has significantly impacted natural language processing, expanding its applications across various fields, including healthcare. …”
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Paraphrase detection for Urdu language text using fine-tune BiLSTM framework by Muhammad Ali Aslam, Khairullah Khan, Wahab Khan, Sajid Ullah Khan, Abdullah Albanyan, Shabbab Ali Algamdi

“…Abstract Automated paraphrase detection is crucial for natural language processing (NL) applications like text summarization, plagiarism detection, and question-answering systems. …”
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Hate Speech Identification and Categorization on Social Media Using Bi-LSTM: An Information Science Perspective by Krishna Kumar Mohbey, Basant Agarwal, Nishtha Kesswani, Maxim Sterjanov, Yunevich Nikol, Vishnyakova Margarita

“…The findings not only advance the field of natural language processing but also have practical implications for social media platforms, policymakers, and advocacy groups seeking to combat online harassment and foster inclusive digital spaces for women.…”
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Scleritis and episcleritis in patients with idiopathic small fiber neuropathy by Atitaya Apivatthakakul, Renee Liu, Marez Megalla, Daniel A. Brill, Lucia Sobrin

“…Methods: The Mass General Brigham (MGB) hospital database was queried for patients with SFN, scleritis and episcleritis using diagnostic codes and natural language processing. Electronic medical chart review of patients diagnosed with SFN and episcleritis/scleritis who had at least one ophthalmology visit was conducted. …”
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