Research on Analyzing the Emotional Polarity of Malicious Swipe Comments on E-commerce Platforms Based on NPL by Ren Chaoyi

“…In the era of rapid advancements in natural language processing (NLP) models, these technologies have immense potential to detect and address societal issues, enhancing the functioning of the digital society. …”
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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. …”
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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. …”
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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.…”
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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. …”
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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. …”
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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. …”
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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. …”
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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. …”
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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. …”
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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. …”
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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. …”
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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…”
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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. …”
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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. …”
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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. …”
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Is musical ability related to second-language acquisition? A meta-analysis by Rachel M. Thompson, Lauren K. Salig, L. Robert Slevc

“…Given robust relationships between musical ability and native-language processing, musical ability might also contribute to successful second-language acquisition. …”
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Graph Convolutional Network for Word Sense Disambiguation by Chun-Xiang Zhang, Rui Liu, Xue-Yao Gao, Bo Yu

“…Word sense disambiguation (WSD) is an important research topic in natural language processing, which is widely applied to text classification, machine translation, and information retrieval. …”
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A CLUSTERING TECHNIQUE FOR THE VIETNAMESE WORD CATEGORIZATION by Nguyễn Minh Hiệp, Nguyễn Thị Minh Huyền, Ngô Thế Quyền, Trần Thị Phương Linh

“…In natural language processing, part-of-speech (POS) tagging plays an important role, as its output is the input of many other tasks (syntax analysis, semantic analysis. . . ). …”
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Lightweight Word Spacing Model Based on Short Text Messages for Social Networking in Smart Homes by Yeongkil Song, Harksoo Kim

“…Therefore, it is not easy to embed intelligent applications based on natural language processing (NLP) techniques, which traditionally require large memory and high-end processing power, into information appliances. …”
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