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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Application on text classification of telecom user complaints based on GRW and FastText model by Jin ZHAO, Xiaojun YANG

“…With the widespread application of neural network, the application of neural network to natural language processing text classification problems has become an effective solution.The customer service center of telecom operator collected user complaint information from multiple channels.In order to automatically classify the complaint text information and assign it to the specific responsible department for processing and reply, enhancing customer perception further, a textclassification method based on GRW and FastTextmodel was proposed.Firstly, the GRW model was used to select the features of the complaint text, extract effective feature words, and then a user complaint text classification method based on FastText model was constructed.Experiments on public datasets and a complaint text data by one of telecom company show that the text classification method based on GRW and FastText model is better than naive Bayes, bidirectional LSTM and Bert pre-trained model in accuracy, Kappa coefficient and Hamming loss.…”
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Research Progress of Causal Inference in Bias Elimination by Chen Limanxi

“…The natural language processing (NLP) models have recently gained widespread attention and are increasingly being applied to real-world tasks. …”
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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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Analysis of Artificial Neural Network: Architecture, Types, and Forecasting Applications by Manogaran Madhiarasan, Mohamed Louzazni

“…Artificial neural networks resemble brain activities based on the acquired training samples used for various applications such as classification, regression, prediction, smart grid, natural language processing, image processing, medical diagnosis, and so on. …”
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ChatGPT, Python, and Microsoft Excel by Kaique Sbampato, Humberto Arruda, Édison Renato Silva

“…ChatGPT, with its advanced natural language processing, helps automate Python script generation and improve data processing in Excel, streamlining workflows and enabling more precise service delivery. …”
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Particle-flow reconstruction with Transformer by Wahlen Paul, Suehara Taikan

“…Transformers are one of the recent big achievements of machine learning, which enables realistic communication on natural language processing such as ChatGPT, as well as being applied to many other fields such as image processing. …”
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Forecast and Simulation of the Public Opinion on the Public Policy Based on the Markov Model by Zi Li

“…In response to this problem, this paper integrates the internet, public information, market credit information, and other data, uses hidden Markov models and natural language processing technology, and establishes a modern government public policy and public opinion monitoring and early warning model to evaluate government credit in real time; the government can formulate relevant policies based on the evaluation results to improve the government’s governance capabilities. …”
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Understanding Counterspeech for Online Harm Mitigation by Yi-Ling Chung, Gavin Abercrombie, Florence Enock, Jonathan Bright, Verena Rieser

“…This paper aims to fill this gap by systematically reviewing counterspeech research in the social sciences and comparing methodologies and findings with natural language processing (NLP) and computer science efforts in automatic counterspeech generation. …”
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Application of artificial intelligence technology in the field of security vulnerability by Hongyu SUN, Yuan HE, Jice WANG, Ying DONG, Lipeng ZHU, He WANG, Yuqing ZHANG

“…The large number of software and the enhancement of complexity have brought severe challenges to the research of software security vulnerabilities.The efficiency of manual research on security vulnerabilities is low and cannot meet the needs of cyberspace security.Therefore,how to apply artificial intelligence techniques such as machine learning and natural language processing to the study of security vulnerabilities has become a new hot spot.Artificial intelligence technology can intelligently process vulnerability information,which can assist in the research of security vulnerabilities and improve the efficiency of research on security vulnerabilities such as vulnerability mining.Firstly,the key technologies of automatic mining,automatic assessment,automatic exploitation and automatic repair of security vulnerabilities were analyzed,which pointed out that the automation of security vulnerability mining was the key of the application of artificial intelligence in the field of security vulnerability.Then,the latest research results of applying artificial intelligence technology to the research on security vulnerabilities was analyzed and summarized in recent years,which pointed out some problems in the application and gave corresponding solutions.Finally,the development trend of intelligent research on security vulnerabilities was prospected.…”
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Penerapan Text Augmentation untuk Mengatasi Data yang Tidak Seimbang pada Klasifikasi Teks Berbahasa Indonesia by Iftitah Athiyyah Rahma, Lya Hulliyyatus Suadaa

“… Klasifikasi teks merupakan salah satu tugas yang fundamental dalam natural language processing (NLP). Dalam dunia nyata, data dan sumber daya yang tersedia untuk pengklasifikasian teks terbatas. …”
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Research progress and trends of deep learning based wireless communication receiving method by Panpan LI, Zhengxia XIE, Guangxue YUE, Xin LIU

“…With the continues expansion of the application boundary for wireless communications, the application environment of wireless communications is becoming increasingly complex and diverse, which faces negative impacts such as radio frequency (RF) damage, channel fading, interference and noise.It brings difficulties to recover the original information at the receiver.Drawing from the research results of deep learning methods in computer vision, pattern recognition, natural language processing and other fields, wireless communication reception technology based on deep learning has received wide attentions from both academia and industry.Firstly, the current research status of wireless communication reception technology based on deep learning at home and abroad was described.Secondly, the current technical challenges of wireless communication reception in the context of signal big data were outlined, and a reference architecture of intelligent wireless communication reception based on deep neural network was proposed.Finally, the development trend of intelligent wireless communication reception method in the context of signal big data was discussed.It is expected to provide reference for the research and development of wireless communication technology based on deep learning.…”
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Realms of aesthetic experience of classical Chinese gardens based on semantic analysis of online tourism reviews by Mengyuan Xu, Yuanyu Wang, Haitao Yu

“…Garden aesthetic elements were measured using natural language processing and encoding technology. A probability transition model of the realms of aesthetic experience was constructed based on a Markov chain and used to mine the transition pattern of the aesthetic realms. …”
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Identifying the Origin of Cyber Attacks Using Machine Learning and Network Traffic Analysis by Du Tianqing

“…In this paper, PCAP refers to Packet Capture, Network Intrusion Detection Systems refers to NIDS, Artificial Intelligence refers to AI, machine learning refers to ML, Computer Vision refers to CV, and Natural Language Processing refers to NLP. While the development of the internet promotes global progress, it also brings various cyber-attacks, such as phishing, junk emails, and keylogging. …”
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Challenges and opportunities with ChatGPT in oral oncology: The journey ahead by Ribwar Arsalan Mohammed, Sirwan Khalid Ahmed

“…ChatGPT's use of natural language processing enables it to analyze complex medical data, aiding in early cancer detection and personalized treatment planning based on evidence-based guidelines. …”
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QnA Chatbot with Mistral 7B and RAG method: Traffic Law Case Study by Muhammad Roiful Anam, Agus Subhan Akbar, Heru Saputro

“…Mistral 7B is a language model designed to achieve high efficiency and performance in handling Natural Language Processing (NLP). This research will evaluate the model's effectiveness in legal data processing using the Retrieval-Augmented Generation (RAG) method, focusing on road traffic and transportation law No 22/2009. …”
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Real-time event detection using recurrent neural network in social sensors by Van Quan Nguyen, Tien Nguyen Anh, Hyung-Jeong Yang

“…Recently, convolutional neural networks have been used in natural language processing problems and have obtained excellent results as performing on available embedding vector. …”
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Survey of artificial intelligence data security and privacy protection by Kui REN, Quanrun MENG, Shoukun YAN, Zhan QIN

“…Artificial intelligence and deep learning algorithms are developing rapidly.These emerging techniques have been widely used in audio and video recognition, natural language processing and other fields.However, in recent years, researchers have found that there are many security risks in the current mainstream artificial intelligence model, and these problems will limit the development of AI.Therefore, the data security and privacy protection was studied in AI.For data and privacy leakage, the model output based and model update based problem of data leakage were studied.In the model output based problem of data leakage, the principles and research status of model extraction attack, model inversion attack and membership inference attack were discussed.In the model update based problem of data leakage, how attackers steal private data in the process of distributed training was discussed.For data and privacy protection, three kinds of defense methods, namely model structure defense, information confusion defense and query control defense were studied.In summarize, the theoretical foundations, classic algorithms of data inference attack techniques were introduced.A few research efforts on the defense techniques were described in order to provoke further research efforts in this critical area.…”
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Creating non-fungible token (NFT)-backed emoji art from user conversations on blockchain by Maedeh Mosharraf, Mohammad Hossein Khorrami

“…It utilizes natural language processing and machine learning methods to extract key sentences from user conversations and match them with emojis that reflect their sentiments. …”
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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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