Advanced Identification of Prosodic Boundaries, Speakers, and Accents Through Multi-Task Audio Pre-Processing and Speech Language Models by Francisco Javier Lima Florido, Gloria Corpas Pastor

“…In recent years, the advances in deep neural networks (DNNs) and large language models (LLMs) have led to major breakthroughs and new levels of performance in Natural Language Processing (NLP), including tasks related to speech processing. …”
Get full text

Arabic Cyberbullying Detection: A Comprehensive Review of Datasets and Methodologies by Huda Aljalaoud, Kia Dashtipour, Ahmed Y. Al-Dubai

“…Ultimately, this work contributes significantly to natural language processing research and advances the creation of safer online environments for Arabic-speaking users.…”
Get full text

Methodological Framework as a Decision-Support Tool in Addressing NFTs and Blockchain Projects in the Tourism Industry by Raffaella Folgieri, Sergej Gričar, Tea Baldigara

“…The framework integrates diverse data collection methods, advanced analytical techniques (including econometric analysis, natural language processing, and machine learning), and a technological workbench for tracking key performance indicators (KPIs). …”
Get full text

The Use of Speech Technology in Foreign Language Pronunciation Training by Grażyna DEMENKO, Agnieszka WAGNER, Natalia CYLWIK

“…Particular focus has been put on the application of techniques based on speech and language processing to the second language learning. Most of the commercial self-study programs, however, do not allow for introduction of an individualized learning course by the teacher and to concentrate on segmental features only. …”
Get full text

Presenting a Novel Hybrid Approach of Text Mining Sentiment Analysis in Twitter Using CART Decision Tree by Nasir Tayarani, Mehrdad Jalali

“…Text mining, as a special strategy, drives the knowledge discovery process, which uses non-verbal and attractive patterns of natural language processing. In this paper, a new hybrid approach of machine learning and vocabulary-based method to text-mining sentiment analysis on Twitter. …”
Get full text

Motivated reasoning in the field: polarization of prose, precedent, and policy in U.S. Circuit Courts, 1891-2013. by Wei Lu, Daniel L Chen

“…Employing natural language processing and supervised machine learning, we scrutinize how judges' language choices and legal citations reflect partisan slant. …”
Get full text

LSTM-Based Neural Network to Recognize Human Activities Using Deep Learning Techniques by Sunitha Sabbu, Vithya Ganesan

“…Deep learning techniques have recently demonstrated their ability to be applied in any field, including image processing, natural language processing, speech recognition, and many other real-world problem-solving applications. …”
Get full text

Best practices in the real-world data life cycle. by Joe Zhang, Joshua Symons, Paul Agapow, James T Teo, Claire A Paxton, Jordan Abdi, Heather Mattie, Charlie Davie, Aracelis Z Torres, Amos Folarin, Harpreet Sood, Leo A Celi, John Halamka, Sara Eapen, Sanjay Budhdeo

“…Seven themes are highlighted that ensure sustainability and scalability for RWD life cycles: data standards adherence, tailored quality assurance, data entry incentivization, deploying natural language processing, data platform solutions, RWD governance, and ensuring equity and representation in data.…”
Get full text

Automatic summarization of scientific articles: A survey by Nouf Ibrahim Altmami, Mohamed El Bachir Menai

“…The conclusions of this study highlight the prevalence of extractive techniques for the automatic summarization of single monolingual articles using a combination of statistical, natural language processing, and machine learning techniques. The absence of benchmark corpora and gold standard summaries for scientific articles remains the main issue for this task.…”
Get full text

Use It or Lose It: Facilitating the Use of Interactive Data Apps in Psychological Research Data Sharing by Franziska Usée, Christiane A. Melzig, Dirk Ostwald

“…The second use case concerns the familiarization with data analysis workflows that are characteristic of natural language processing (NLP). For both use cases, we provide easy-to-adapt Python code that can form the basis for IDA development in similar scenarios.…”
Get full text

An annotated morphological dataset for Uzbek word forms: Towards rule-based and machine learning approachesMendeley Data by Nilufar Abdurakhmonova, Raima Shirinova, Rano Sayfullayeva, Davlatyor Mengliev, Bahodir Ibragimov, Manzura Ernazarova

“…The dataset is publicly available in Excel format and is intended as a base resource for further research in the field of natural language processing in Uzbek, including applications in text generation, semantic analysis, and grammar correction.…”
Get full text

Consumer insights from a feasibility study on remote and extended use of a novel non-invasive wearable fetal electrocardiogram monitor by Debjyoti Karmakar, Tarini Paul, Emerson Keenan, Marimuthu Palaniswami, Kaitlin Constable, Erica Spessot, Fiona Brownfoot

“…Analysis by natural language processing and clustering provided deeper insights. …”
Get full text

A Novel Temporal Footprints-Based Framework for Fake News Detection by Ali Raza, Shafiq Ur Rehman Khan, Raja Sher Afgun Usmani, Ashok Kumar Das, Shehzad Ashraf Chaudhry

“…In recent studies, the temporal features in text documents have gained valuable consideration from the natural language processing (NLP) research community. This study investigates the importance of temporal features in text documents for detecting fake news. …”
Get full text

Tracing the scope of fear in corpus: similarities and differences in cross-domain/genre texts by Ignacio Rodríguez Sánchez, Antonio Reyes Pérez, Manuel Cebral Loureda, Ester Bautista Botello, Nohemí Lugo Rodríguez

“…For this we have made use of digital humanities tools and methods, mainly corpus linguistics and natural language processing, which enable us to explore, present and visualize linguistic elements that define fear in Mexican society. …”
Get full text

Emerging Trends in AI-Based Soil Contamination Monitoring and Prevention by Cosmina-Mihaela Rosca, Adrian Stancu

“…In this way, the authors of the present research will propose new research directions that include machine learning, natural language processing, computer visualization, and other artificial intelligence techniques for monitoring soil contaminants. …”
Get full text

Systematic Literature Review of Topic Labeling by Salma Mekaoui, Ilham Chaker, Arsalane Zarghili, Nikola S. Nikolov

“…The rapid growth of textual data on the web has led researchers to develop methods in Natural Language Processing (NLP) to process, understand, and identify topics. …”
Get full text

Monitoring the opioid epidemic via social media discussions by Delaney A. Smith, Adam Lavertu, Aadesh Salecha, Tymor Hamamsy, Keith Humphreys, Anna Lembke, Mathew V. Kiang, Russ B. Altman, Johannes C. Eichstaedt

“…We built a natural language processing pipeline to identify opioid-related content and created a cohort of 1,689,039 Reddit users, each assigned to a state based on their previous Reddit activity. …”
Get full text

MNC: A multi-agent framework for complex network configuration by Cui Wang, Huan Li

“…Recent progress in large language models (LLMs) has led to substantial improvements in their ability to perform a wide range of natural language processing tasks, particularly in handling complex scenarios. …”
Get full text

The Evolution of Generative AI: Trends and Applications by Maria Trigka, Elias Dritsas

“…These innovations have driven breakthroughs in healthcare, scientific computing, Natural Language Processing (NLP), computer vision, and autonomous systems. …”
Get full text

Time-domain brain: temporal mechanisms for brain functions using time-delay nets, holographic processes, radio communications, and emergent oscillatory sequences by Janet M. Baker, Peter Cariani

“…This sequence corresponds to stages of speech-language processing (sound/speech detection, acoustic-phonetics, phone/clusters, syllables, words/phrases, word sequences/sentences, and concepts/understanding). …”
Get full text