The Detection of Fake Text News using a Dense-based 1D-CNN Deep Learning Algorithm by Khalid Abood Kamel, Jumana Waleed

“…The research problem is how ‎accurately and to what extent can an individual distinguish between fake news articles using ‎natural language processing and classification algorithms. What are the steps that can be ‎taken to provide a solution?‎‎…”
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Intelligent data analysis in edge computing with large language models: applications, challenges, and future directions by Xuanzheng Wang, Zhipeng Xu, Xingfei Sui

“…Simultaneously, large language models (LLMs) such as GPT-4 and BERT have showcased impressive capabilities in data analysis, natural language processing, and decision-making. This survey explores the intersection of these two domains, specifically focusing on the adaptation and optimization of LLMs for data analysis tasks in edge computing environments. …”
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Code vulnerability detection method based on graph neural network by Hao CHEN, Ping YI

“…The schemes of using neural networks for vulnerability detection are mostly based on traditional natural language processing ideas, processing the code as array samples and ignoring the structural features in the code, which may omit possible vulnerabilities.A code vulnerability detection method based on graph neural network was proposed, which realized function-level code vulnerability detection through the control flow graph feature of the intermediate language.Firstly, the source code was compiled into an intermediate representation, and then the control flow graph containing structural information was extracted.At the same time, the word vector embedding algorithm was used to initialize the vector of basic block to extract the code semantic information.Then both of above were spliced to generate the graph structure sample data.The multilayer graph neural network model was trained and tested on graph structure data features.The open source vulnerability sample data set was used to generate test data to evaluate the method proposed.The results show that the method effectively improves the vulnerability detection ability.…”
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PENERAPAN ARTIFICIAL INTELLIGENCE (AI) DALAM PERAMALAN AKUNTANSI TINJAUAN LITERATUR DAN AGENDA PENELITIAN MASA DEPAN by Gilang Surya Pratama, Agus Munandar

“…The analysis results show significant improvements in forecasting accuracy using AI technology, with Machine Learning achieving 78% accuracy in revenue forecasting, Deep Learning 85% in financial trend prediction, and Natural Language Processing 89% in sentiment analysis. Major implementation challenges include data quality, infrastructure limitations, and data security. …”
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Research on Sarcastic Emotion Recognition Based on Multiple Feature Fusion by Si Kaihao

“…Sarcasm detection significantly enhances the performance of various natural language processing applications, such as sentiment analysis, opinion mining, and stance detection. …”
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Ontological Representation of the Structure and Vocabulary of Modern Greek on the Protégé Platform by Nikoletta Samaridi, Evangelos Papakitsos, Nikitas Karanikolas

“…One of the issues in Natural Language Processing (NLP) and Artificial Intelligence (AI) is language representation and modeling, aiming to manage its structure and find solutions to linguistic issues. …”
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Thematic analysis of in-group and out-group debates in an online right-wing extremist community by John Hardy

“…It used a dataset of approximately 1m posts collected from the open Opposing Views forum on Stormfront from the period 2001 to 2020 to create a corpus of over 195m words for thematic analysis. A Natural Language Processing (NLP) model was used to analyze the corpus, and a supervised phrase mining algorithm was used to identify key topics in the debate. …”
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Identifying technologies in circular economy paradigm through text mining on scientific literature. by Vito Giordano, Alessio Castagnoli, Isabella Pecorini, Filippo Chiarello

“…In this article we investigate the technological landscape of the circular economy through Natural Language Processing (NLP), examining key technologies used in this sector and the primary challenges in managing these technologies. …”
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Shanshan: a question-answering system for computer general courses with high throughput and low latency by YANG Yun, LIU Tianyang, WANG Shuo, SU Bin, PU Peng, LU Xuesong

“…The natural language processing capabilities based on large language models have shown wide application potential in intelligent question-answering scenarios. …”
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Analyzing Public Sentiment and Public Opinion of the Caliphate Issue in Indonesia: Twitter Analytics Evidence by Noor Hudha, Abdul Fadli Kalaloi, Adi Bayu Mahadian

“…This study analyzed Twitter data using machine learning from a third-party platform with natural language processing (NLP) process to examine public sentiment about the caliphate. …”
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Sentiment and Tone Analysis of Corporate Communication in Different Market Conditions by Mesirin Kwanjai, Sampan Nettayanun

“…This study employs a natural language processing framework to explore how sentiment and tone change in corporate communication in different market conditions. …”
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Detection of offensive content in the Kazakh language using machine learning and deep learning approaches by Milana Bolatbek, Moldir Sagynay, Shynar Mussiraliyeva, Zhastay Yeltay

“…Given the agglutinative structure and rich morphology of Kazakh, standard natural language processing (NLP) models require significant adaptation. …”
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Latest Trends in the Use of Artificial Intelligence in the Banking Sector by Gergely Lülök, Zoltán Sebestyén

“…The results show that Unsupervised Learning Models dominate in bankruptcy prediction and risk analysis, while Natural Language Processing and Deep Learning techniques are mainly focused on improving customer relationships and increasing bank efficiency. …”
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The SWOW-SL project by Špela Vintar, Mojca Brglez, Ela Novak, Simon De Deyne

“…The data set is released on the Clarin.si repository and opens up a range of new possibilities for research in cognitive linguistics, natural language processing and related fields. …”
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Biodiversity in NLP: modelling lexical meaning with the Fruit Fly Algorithm by Simon Preissner, Aurélie Herbelot

“…This biodiversity is in stark contrast with the landscape of artificial models in the field of Natural Language Processing (NLP). In the last years, NLP algorithms have clustered around a few very expensive architectures, the cost of which has many facets, including training times, storage, replicability, interpretability, equality of access to experimental paradigms, and even environmental impact. …”
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Research and application analysis of artificial intelligence-based customer service platform technologies for telecom operators by Xiaoliang MA, Ying LIU, Dequan DU, Guoxin ZHANG

“…The evolution of customer service platforms was reviewed systematically, covering the first generation of interactive voice response (IVR) customer service, the second generation of multimedia online customer service, and the third generation of artificial intelligence (AI) customer service.The functional characteristics of each generation of customer service platforms were elaborated in depth.Additionally, the functional construction of customer service systems in various industries was introduced in detail, such as manufacturing, finance, transportation, and telecommunications.Based on this, the application components of AI customer service platforms for operators were further depicted, including intelligent dispatching, voice transcription, knowledge recommendation, intelligent quality inspection, and intelligent liability determination.Currently, the adoption of AI customer service platforms by operators has become a development trend.Looking forward, customer service platforms will integrate various intelligent technologies such as large-scale models, natural language processing (NLP), and knowledge graphs to meet customer service demands.…”
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Design and Research of Artificial Intelligence in Multimedia Intelligent Question-Answering System and Self-Test System by Xiaoyan Yao

“…Therefore, this paper aims at this problem by combining the development background of foreign intelligent answer system and self-test system, and introducing it into our computer application, using artificial intelligence for natural language processing, aiming at online teaching students cannot get timely answer, and self-test questions intelligent system design. …”
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Comparing Psychometric Properties of Expert-Developed and AI-Generated Personality Scales by Lydia Oeljeklaus, Stefan Höft, Daniel Danner

“…Abstract: Artificial intelligence (AI) techniques such as natural language processing can be used to construct personality scales. …”
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PROCESSING TOOLS FOR CORPUS LINGUISTICS: A CASE STUDY ON ARABIC HISTORICAL CORPUS by Bassam Hasan Hammo, Sane Yagi

“…The inclusion of digital resources and the advancement in natural language processing (NLP) technology have made Arabic historical corpora increasingly crucial for researchers and learners worldwide. …”
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Restraining Cultural Stereotyping in Computational Linguistics through Computational Ethics by Ikechukwu Monday Osebor, Carol C. Ohen

“…Computational linguistics can in advertently perpetuate cultural stereotypes if not carefully considered in the development of language processing algorithms and models. It is important for computation al linguists to be aware of the potential biases in their work and strive to create inclusive and culturally sensitive tools and resources. …”
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