A Comparative Study of Deep Learning’s Performance Methods for News Article using Word Representations by Iman Saladin B. Azhar, Winda Kurnia Sari, Naretha Kawadha Pasemah Gumay

“…In natural language processing (NLP), text classification is a crucial task that involves analyzing textual data, which often has high dimensionality. …”
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The Role of Artificial Intelligence in Criminal Investigations in India by Kumar Navin

“…All these technologies like; predictive policing, facial recognition, natural language processing, or data analytics represent a pathway to faster speeds, higher accuracies, and better outcomes in Criminal Investigations. …”
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The plausibility of claimed induced seismicity by Max Wilkinson, Najwa Mhana, Miles P. Wilson, Gillian R. Foulger, Timur Tezel, Jon G. Gluyas

“…Future work could include applying data mining techniques including natural language processing and AI to uncover new evidence. Future best practice for rapid assessment of cases would ideally involve an independent panel of scientists who rapidly apply a questionnaire scheme, reach consensus, and inform a response.…”
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Design of intelligent English translation teaching system combined with bidirectional encoder representation by Shanshan Xu

“…This advanced natural language processing model can help us understand the context of the language well. …”
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From Transformers to Voting Ensembles for Interpretable Sentiment Classification: A Comprehensive Comparison by Konstantinos Kyritsis, Charalampos M. Liapis, Isidoros Perikos, Michael Paraskevas, Vaggelis Kapoulas

“…Our study contributes to the field of natural language processing by exploring the reasons for the predominance, in this particular task, of Majority vote over Soft vote. …”
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Information disclosure and funding success of green crowdfunding campaigns: a study on GoFundMe by Ziyi Yin, Guowei Huang, Rui Zhao, Sen Wang, Wen-Long Shang, Chunjia Han, Mu Yang

“…Applying machine learning techniques (e.g., Natural Language Processing and Computer Vision) and logistic regression, this study investigates 720 green crowdfunding campaigns on GoFundMe and empirically finds that the duration, length of campaign introductions, and length of the title influence fundraising outcomes. …”
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Specialized Large Language Model for Standardization of Locomotive Maintenance Data by CHEN Ao, LI Chen, YAN Jiayun, PENG Liantie, TIAN Ye, LIU Leixinyuan

“…Large language models (LLM), featuring powerful performance in natural language processing comprehension and handling complex tasks, have made great academic and industrial progress in recent years. …”
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Instance-Level Weighted Contrast Learning for Text Classification by Xinhui Liu, Jifa Chen, Qiubo Huang

“…With the explosion of information, the amount of text data has increased significantly, making text categorization a central area of research in natural language processing (NLP). Traditional machine learning methods are effective, but deep learning models excel in processing semantic information. …”
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BanglaLem: A Transformer-based Bangla Lemmatizer with an Enhanced Dataset by Md Fuadul Islam, Jakir Hasan, Md Ashikul Islam, Prato Dewan, M. Shahidur Rahman

“…Lemmatization plays a crucial role in various natural language processing (NLP) tasks, such as information retrieval, sentiment analysis, text summarization, and text classification. …”
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Facebook Sentiment Analysis on Healthcare of Timor-Leste: Analysing public perception through social media by Cristovao De Alexandria Barros, Marcelo Amaral Mali, Evalisa Adão Mendonça, Osmenia de jesus Neto

“…Data from November 2023 to November 2024 were analyzed using Natural Language Processing (NLP) techniques, including Python’s VADER sentiment analyzer. …”
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AsymGroup: Asymmetric Grouping and Communication Optimization for 2D Tensor Parallelism in LLM Inference by Ki Tae Kim, Seok-Ju Im, Eui-Young Chung

“…Recent advances in Large Language Models (LLMs), such as GPT and LLaMA, have demonstrated remarkable capabilities across a wide array of natural language processing tasks. Despite these successes, efficient inference at scale remains challenging, particularly in heterogeneous computing environments characterized by variations in GPU counts, and computational capacities across nodes. …”
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A novel LLM time series forecasting method based on integer-decimal decomposition by Lei Wang, Keyao Dong, Xiaoyong Zhao

“…Inspired by advancements in natural language processing (NLP) and computer vision (CV), large language models (LLMs) have emerged as a promising method for time series forecasting. …”
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Generating BPMN diagram from textual requirements by Sholiq Sholiq, Riyanarto Sarno, Endang Siti Astuti

“…The proposed method has two stages: 1) analyzing the textual requirements using natural language processing and 2) generating the BPMN diagram. …”
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LPBERT: A Protein–Protein Interaction Prediction Method Based on a Pre-Trained Language Model by An Hu, Linai Kuang, Dinghai Yang

“…With the development of natural language processing technology, language models have become a research hotspot in recent years, and protein language models have also been developed accordingly. …”
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Artificial intelligence to revolutionize IBD clinical trials: a comprehensive review by Rocio Sedano, Virginia Solitano, Sudheer K. Vuyyuru, Yuhong Yuan, Jurij Hanžel, Christopher Ma, Olga Maria Nardone, Vipul Jairath

“…This article explores how AI-driven technologies, including machine learning (ML), natural language processing, and predictive analytics, have the potential to enhance important aspects of IBD trials—from patient recruitment and trial design to data analysis and personalized treatment strategies. …”
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Constructing and evaluating ArabicStanceX: a social media dataset for Arabic stance detection by Ali Alkhathlan, Faris Alahmadi, Faris Kateb, Hend Al-Khalifa

“…However, the lack of comprehensive datasets has limited research progress in Arabic Natural Language Processing (NLP). To address this, we introduce ArabicStanceX, a novel and extensive Arabic stance detection dataset sourced from social media, comprising 14,477 tweets across 17 diverse topics. …”
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Evaluation of Different Stemming Techniques on Arabic Customer Reviews by Hawraa Fadhil Khelil, Mohammed Fadhil Ibrahim, Hafsa Ataallah Hussein, Raed Kamil Naser

“…Big companies all over the world assign a lot of their efforts to analyzing customers’ feedback to keep track of their needs. Natural Language Processing (NLP) is widely used to analyze such review texts. …”
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Game on: Computerized Training Promotes Second Language Stress–Suffix Associations by Kaylee Fernandez, Nuria Sagarra

“…Effective language processing relies on pattern detection. Spanish monolinguals predict verb tense through stress–suffix associations: a stressed first syllable signals present tense, while an unstressed first syllable signals past tense. …”
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Dual-Language Sentiment Analysis: A Comprehensive Evaluating SVM, Logistic Regression, XGBoost, and Decision Tree Using TF-IDF On Arabic and English Dataset by Hawraa Ali Taher

“… Sentiment analysis (SA) is a growing area of study that straddles a number of disciplines, including machine learning, data mining, and natural language processing. It is focused on the automatic extraction of viewpoints presented in a certain text. …”
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Divide and summarize: improve SLM text summarization by Alexandre Bailly, Antoine Saubin, Gabriel Kocevar, Jonathan Bodin

“…IntroductionText summarization is a longstanding challenge in natural language processing, with recent advancements driven by the adoption of Large Language Models (LLMs) and Small Language Models (SLMs). …”
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