Dendrites endow artificial neural networks with accurate, robust and parameter-efficient learning by Spyridon Chavlis, Panayiota Poirazi

“…Abstract Artificial neural networks (ANNs) are at the core of most Deep Learning (DL) algorithms that successfully tackle complex problems like image recognition, autonomous driving, and natural language processing. However, unlike biological brains who tackle similar problems in a very efficient manner, DL algorithms require a large number of trainable parameters, making them energy-intensive and prone to overfitting. …”
Get full text

A Graph Convolutional Network-Based Sensitive Information Detection Algorithm by Ying Liu, Chao-Yu Yang, Jie Yang

“…In the field of natural language processing (NLP), the task of sensitive information detection refers to the procedure of identifying sensitive words for given documents. …”
Get full text

Design and realization of compressor data abnormality safety monitoring and inducement traceability expert system. by Yuan Wang, Shaolin Hu

“…Combined with dynamic knowledge graph and NLP (Natural Language Processing) inference, it achieves good diagnostic results.…”
Get full text

A Green AI Methodology Based on Persistent Homology for Compressing BERT by Luis Balderas, Miguel Lastra, José M. Benítez

“…Large Language Models (LLMs) like BERT have gained significant prominence due to their remarkable performance in various natural language processing tasks. However, they come with substantial computational and memory costs. …”
Get full text

Deep neural networks and humans both benefit from compositional language structure by Lukas Galke, Yoav Ram, Limor Raviv

“…Abstract Deep neural networks drive the success of natural language processing. A fundamental property of language is its compositional structure, allowing humans to systematically produce forms for new meanings. …”
Get full text

Sentiment Analysis of Product Reviews Using Fine-Tuned LLaMa-3 Model: Evaluation with Comprehensive Benchmark Metrics by Wang Yili

“…Sentiment analysis, a crucial subfield of natural language processing, enables businesses and policymakers to understand public emotions and opinions, essential for crafting effective strategies across industries like marketing and customer service. …”
Get full text

American social media users have ideological differences of opinion about the War in Ukraine by William G. Nomikos, Dahjin Kim, Gechun Lin

“…Then, we apply a natural language processing model specifically designed for short texts to classify the tweets into clusters that we hand code into substantive topics. …”
Get full text

Leveraging Advanced NLP Techniques and Data Augmentation to Enhance Online Misogyny Detection by Alaa Mohasseb, Eslam Amer, Fatima Chiroma, Alessia Tranchese

“…This study presents a framework that integrates advanced natural-language processing techniques with strategic data augmentation to improve the detection of misogynistic content. …”
Get full text

The Ecosystem of AI-Driven Robotics in Pediatric Neurorehabilitation by Tole Sutikno, Lina Handayani

“…Moreover, the inclusion of natural language processing and facial expression analysis warrants careful consideration, as it sets the stage for more nuanced interactions between robots and pediatric patients, thereby fostering a therapeutic environment that is both responsive and empathetic. …”
Get full text

Comparative Analysis of TF-IDF and Word2Vec in Sentiment Analysis: A Case of Food Reviews by Zhan Zerui

“…Sentiment analysis is an important area of natural language processing that supports applications such as market analysis, customer feedback, and social media monitoring by identifying and classifying opinions in text. …”
Get full text

What Competences Does the Regional Market of IT Specialists Want? Development and Approbation of Technology for Analysis of Current Vacancies in the Labor Market by A. E. Shukhman, L. S. Grishina, L. L. Legashev, D. I. Parfenov

“…Modern machine learning techniques such as Natural Language Processing can be used for automatic position selection based on skills in vacancies. …”
Get full text

A Systematic Analysis of Various Word Sense Disambiguation Approaches by Chandra Ganesh, Sanjay K. Dwivedi, Satya Bhushan Verma, Manish Dixit

“…In the field of natural language processing, WSD has become a growing research area. …”
Get full text

Exploring the Applications of Artificial Intelligence in Marketing: A Topic Modelling Analysis by Paulo Rita, Wajdy Omran, Ricardo F. Ramos, Tânia Costa

“…The findings suggest trends in research topics of Learning Models, Expert Systems, Natural Language Processing, Social Media, and Consumer Centricity. …”
Get full text

A systematic assessment of sentiment analysis models on iraqi dialect-based texts by Hafedh Hameed Hussein, Amir Lakizadeh

“…Sentiment Analysis (SA) uses natural language processing (NLP) to interpret these opinions from text. …”
Get full text

Global Trends on the Use of Artificial Intelligence in Nursing: A Descriptive and Evaluative Bibliometric Analysis Study by Fatma Azizoğlu, Banu Terzi

“…The prominent topics in the studies were "virtual reality, artificial intelligence, nursing, machine learning, simulation, nursing education, education, pain, nursing students, natural language processing, nurses, robotics, deep learning and mental health".Conclusion: There has been a significant increase in the number of studies on the use of artificial intelligence in nursingand this area offers an active field of study for nursing researchers…”
Get full text

Advancing Computational Humor: LLaMa-3 Based Generation with DistilBert Evaluation Framework by He Jinliang, Mei Aohan

“…Humor generation presents significant challenges in the field of natural language processing, primarily due to its reliance on cultural backgrounds and subjective interpretations. …”
Get full text

Development of an intelligent virtual assistant for digitalization of Moroccan agriculture by Iounousse Jawad, Temsamani Omar

“…This included natural language processing, intent recognition, and response generation tailored to the nuances of Darija. …”
Get full text

Research on the Disease Intelligent Diagnosis Model Based on Linguistic Truth-Valued Concept Lattice by Li Yang, Yuhui Wang, Haixia Li

“…Uncertainty natural language processing has always been a research focus in the artificial intelligence field. …”
Get full text

Chinese Universities’ Image Repair after Network Public Opinion Events: Strategy Choice and Effect Evaluation by Jing Jiang, Juanjuan Ren

“…The study aims to address Chinese universities’ image repair strategies after network public opinion events in the field of crisis management; therefore, it takes 43 network public opinion events in Chinese universities as the research object, encodes the official texts issued by universities according to the image restoration strategy, and sums up the image repair strategies commonly used by Chinese universities. Then, natural language processing is used to conduct the sentiment analysis of the online comments obtained. …”
Get full text

CoGraphNet for enhanced text classification using word-sentence heterogeneous graph representations and improved interpretability by Pengyi Li, Xueying Fu, Juntao Chen, Junyi Hu

“…Abstract Text Graph Representation Learning through Graph Neural Networks (TG-GNN) is a powerful approach in natural language processing and information retrieval. However, it faces challenges in computational complexity and interpretability. …”
Get full text