Understanding Fourth-Grade Student Achievement Using Process Data from Student’s Web-Based/Online Math Homework Exercises by Oksana Ilina, Sona Antonyan, Maria Kosogorova, Anna Mirny, Jenya Brodskaia, Manasi Singhal, Pavel Belakurski, Shreya Iyer, Brandon Ni, Ranai Shah, Milind Sharma, Larry Ludlow

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A Comprehensive Approach to Bias Mitigation for Sentiment Analysis of Social Media Data by Jothi Prakash Venugopal, Arul Antran Vijay Subramanian, Gopikrishnan Sundaram, Marco Rivera, Patrick Wheeler

“…Our approach begins with adapting the Jigsaw Unintended Bias in Toxicity Classification dataset by converting toxicity scores into sentiment labels, making it suitable for sentiment analysis. This process includes data preparation steps like cleaning, tokenization, and feature extraction, all aimed at reducing bias. …”
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Protein sequence classification using natural language processing techniques by Huma Perveen, Julie Weeds

“…Conclusion Advanced NLP techniques, particularly ensemble methods like Voting classifiers, and transformer models show significant potential in protein classification, with sufficient training data and sequence similarity management being crucial for optimal performance. …”
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Pharmacovigilance in the digital age: gaining insight from social media data by Fan Dong, Wenjing Guo, Jie Liu, Tucker A. Patterson, Huixiao Hong

“…Advanced techniques like natural language processing and machine learning are increasingly being employed to extract meaningful information from social media data, aiding in early adverse drug event detection and real-time medication safety monitoring. …”
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Mirror-Like Mechanisms and Music by Alessandro D'Ausilio

“…The scope of the present short review is to set the scientific background for mirror-like mechanisms in music by examining recent published data.…”
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Intersections of Big Data and IoT in Academic Publications: A Topic Modeling Approach by Diana-Andreea Căuniac, Andreea-Alexandra Cîrnaru, Simona-Vasilica Oprea, Adela Bâra

“…Six topics are extracted using Latent Dirichlet Allocation. In Topic 1, words like “system” and “energy” are among the most frequent, signaling that Topic 1 revolves around <i>data systems and IoT technologies</i>, likely in the context of smart systems and energy-related applications. …”
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Adjoint‐Based Marker‐In‐Cell Data Assimilation for Constraining Thermal and Flow Processes From Lagrangian Particle Records by Atsushi Nakao, Tatsu Kuwatani, Shin‐ichi Ito, Hiromichi Nagao

“…These Lagrangian particles can be useful for constraining unknown parameters, such as their sources and the thermal and flow processes of the surrounding fluid. To use information about Lagrangian particles to constrain unknown parameters about the surrounding fluid in an inverse manner, we have developed a 4D‐Var (four‐dimensional variational) data assimilation for thermal convection in a particle‐grid coupled system. …”
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Structured Summarization of League of Legends Match Data Optimized for Large Language Model Input by Jooyoung Kim, Wonkyung Lee, Jungwoon Park

“…This paper introduces the League of Legends Match Data Compactor (LoL-MDC), a tool designed to transform extensive match data into a concise and structured format optimized for LLM processing. …”
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Impact of face outline, parafoveal feature number and feature type on early face perception in a gaze-contingent paradigm: A mass-univariate re-analysis of ERP data by Seth B. Winward, James Siklos-Whillans, Roxane J. Itier

“…This re-analysis demonstrates that classical ERP analysis can obscure important aspects of face processing beyond the N170 peak, and that tools like mass univariate statistics are needed to shed light on the whole time-course of face processing.…”
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Enhancing Process Control in Agriculture: Leveraging Machine Learning for Soil Fertility Assessment by Ashutosh Sarangi, Sailesh Kumar Raula, Sohamdev Ghoshal, Swadhin Kumar, Chinta Sai Kumar, Neelamadhab Padhy

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Transforming breast cancer management with real-world data and artificial intelligence by P. Heudel, B. Mery, H. Crochet, T. Bachelot, O. Tredan

“…The article also explores the role of artificial intelligence (AI) in managing RWD, particularly through technologies like natural language processing (NLP) and predictive analytics, which enhance data collection, storage, and analysis. …”
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A Comparison of Topic Modeling Approaches Using Networked Discussion Forum Posts From the City-data.com Corpus by Ryan M. Omizo

“…Like the 20 Newsgroups dataset, the City-Data.com Corpus is weakly labeled by forum topics and thread titles and can be used to trial natural language processing techniques or be used to stage lessons in digital textual analysis in digital humanities pedagogy.…”
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A dataset for classifying phrases and sentences into statements, questions, or exclamations based on sound pitchMendeley Data. by Ayub Othman Abdulrahman, Shanga Ismail Othman, Gazo Badran Yasin, Meer Salam Ali

“…The dataset contains equal representation from all three classes, about 4200 samples per class, and metadata such as speaker gender, age group, and sentence identifiers.The original audio files, alongside resources like Mel-Frequency Cepstral Coefficients (MFCCs) and waveform visualizations, can be found on Mendeley Data. …”
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Machine Learning Algorithms of Remote Sensing Data Processing for Mapping Changes in Land Cover Types over Central Apennines, Italy by Polina Lemenkova

“…To classify remote sensing (RS) data, two types of approaches were carried out. The first is unsupervised classification based on the MaxLike approach and clustering which extracted Digital Numbers (DN) of landscape feature based on the spectral reflectance of signals, and the second is supervised classification performed using several methods of Machine Learning (ML), technically realised in GRASS GIS scripting software. …”
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Investigating the vertical and lateral heterogeneity in an Iranian carbonate reservoir using advanced petrophysical logs, petrographic data and image processing techniques by Saeed Yarmohammadi, Abdolrahim Javaherian, Mohammad Sharifi, Mohammad Reza Saberi, Hadi Mahdavi Basir

“…The models developed through this workflow enhance decision-making in reservoir characterization and offer practical applications for field studies. Despite limitations like imaging resolution and data availability, this approach remains integral to advancing the understanding of heterogeneity and guiding further improvements. …”
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Automated Detection of Galactic Rings from Sloan Digital Sky Survey Images by Linn Abraham, Sheelu Abraham, Ajit K. Kembhavi, N. S. Philip, A. K. Aniyan, Sudhanshu Barway, Harish Kumar

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Data augmentation for Arabic text classification: a review of current methods, challenges and prospective directions by Samia F. Abdhood, Nazlia Omar, Sabrina Tiun

“…Inclusion and exclusion criteria were applied to ensure a comprehensive vision of these techniques in Arabic natural language processing (ANLP). It was found that data augmentation research for Arabic text classification dominates sentiment analysis and propaganda detection, with initial studies emerging in 2019; very few studies have investigated other domains like sarcasm detection or text categorization. …”
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Bridging the Past and Future of Clinical Data Management: The Transformative Impact of Artificial Intelligence by Musik S, Sasin-Kurowska J, Panczyk M

“…The review concludes on different artificial intelligence/machine learning techniques like natural language processing, predictive analytics, and automation technologies, and their applications in improving data quality and streamlining clinical data workflows.Keywords: clinical data management, artificial intelligence, machine learning, natural language processing, clinical data science, electronic data capture…”
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Next-Generation Text Summarization: A T5-LSTM FusionNet Hybrid Approach for Psychological Data by Bilal Khan, Muhammad Usman, Inayat Khan, Jawad Khan, Dildar Hussain, Yeong Hyeon Gu

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Vers les analyses algorithmiques de l'espace et des territoires by Claire Bailly, Jean Magerand

“…To this end, we will highlight some of the salient points of automated data processing. Starting from the observation that the ways we read the world co-evolve with the ways we act on it, the challenge is ultimately to better understand how big data, data mining and machine learning are likely to affect our design processes.…”
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