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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Language-independent Metric for Measuring Text Simplification that does not Require a Parallel Corpus by Lucas Mucida, Alcione Oliveira, Maurilio Possi

“…Natural language processing encompasses several tasks, one of which is the automatic text simplification. …”
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Parallelization of the Bison Algorithm Applied to Data Classification by Simone A. Ludwig, Jamil Al-Sawwa, Aaron Mackenzie Misquith

“…Classification algorithms, in particular, play a crucial role in a wide range of applications, from image recognition and natural language processing to fraud detection and medical diagnosis. …”
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Fine-tuning neural network quantum states by Riccardo Rende, Sebastian Goldt, Federico Becca, Luciano Loris Viteritti

“…We argue that the reduced cost of this paradigm has significant potential to advance the exploration of strongly correlated systems using NQS, mirroring the success of fine-tuning in machine learning and natural language processing.…”
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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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Avatars in the educational metaverse by Md Zabirul Islam, Ge Wang

“…It also analyzed the recent progress in artificial intelligence, especially natural language processing and generative models, which have significantly improved avatar capabilities. …”
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Uncovering the Perception of Digital Gold as Islamic Investment by Ahmad Tibrizi Soni Wicaksono, Budi Eko Soetjipto

“…The study used Word cloud analysis, Sankey diagrams and sentiment dominance portion assessment through a natural language processing (NLP) approach. The study processed 1433 user responses from Facebook, Instagram, TikTok, X, and YouTube over the past year. …”
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A dataset for document level Chinese financial event extraction by Yubo Chen, Tong Zhou, Sirui Li, Jun Zhao

“…Utilizing state-of-the-art natural language processing techniques for automated financial event extraction addresses the inefficiencies and high costs associated with traditional event identification and modeling, which rely heavily on financial domain experts. …”
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Research progress on Chinese and English text error correction by Wang Yao

“…Text error correction is an essential task in natural language processing (NLP) that focuses on automatically identifying and correcting errors in written text. …”
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L’INTELLIGENCE ARTIFICIELLE AU SERVICE DU MULTILINGUISME ET DE L’INCLUSION : QUELS ENJEUX POUR LE FRANÇAIS ET L’ITALIEN DANS LES INSTITUTIONS ? by Ilaria Cennamo, Maria Margherita Mattioda

“…This article presents the first results of a series of experimental activities in higher education, in the field of foreign languages and translation learning, along with an NLP (Natural Language Processing) study with the aim to raise the awareness of students and organizations with respect to linguistic variation and multilingualism. …”
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Predictive modeling of biodegradation pathways using transformer architectures by Liam Brydon, Kunyang Zhang, Gillian Dobbie, Katerina Taškova, Jörg Simon Wicker

“…We formulate the product prediction problem as a sequence-to-sequence generation task and take inspiration from natural language processing and other reaction prediction tasks. …”
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Emotion and Inspiration through Generative AI Art by Cynthia Calongne

“…To create artistic masterpieces using words through natural language processing further stimulates the mind and helps to overcome writer’s block. …”
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Automatic Speech Recognition Errors Detection And Correction: A Review by Rahhal Errattahi, Asmaa El Hannani, Hassan Ouahmane

“…The correction of the transcription errors is very crucial not only to improve the speech recognition accuracy, but also to avoid the propagation of the errors to the subsequent language processing modules such as machine translation. …”
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PARSEME-It: an Italian corpus annotated with verbal multiword expressions by Johanna Monti, Maria Pia di Buono

“…Besides they are very challenging for deep parsing and other Natural Language Processing (NLP) tasks. Notably, MWEs are pervasive in natural languages but are particularly difficult to be handled by NLP tools because of their characteristics and idiomaticity. …”
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The general intelligence of GPT–4, its knowledge diffusive and societal influences, and its governance by Mohammad Mahdi Jahani Yekta

“…Recent breakthroughs in artificial intelligence (AI) research include advancements in natural language processing (NLP) achieved by large language models (LLMs), and; in particular, generative pre–trained transformer (GPT) architectures. …”
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Phonological awareness and sinusoidal amplitude modulation in phonological dislexia by Yolanda Peñaloza-López, Aline Herrera-Rangel, Santiago J. Pérez-Ruiz, Adrián Poblano

“…Conclusion Alterations in PA and SAM found can help to explain basis of deficient language processing exhibited by children with PD.…”
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Toward the morpho-syntactic annotation of an Old English corpus with universal dependencies by Javier Martín Arista

“…Such a treebank will comprise morphological and syntactic annotation of Old English texts adequate for cross-linguistic comparison, diachronic analysis and natural language processing. The article, therefore, engages in four tasks: (i) identifying the Old English exponents of UD lexical categories; (ii) selecting the Old English exponents of UD morphological features; (iii) finding the areas of Old English morphology that require token indexing in the UD format; and (iv) checking on the relevance of the universal set of dependency relations. …”
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Generative Models as a Complex Systems Science: How Can We Make Sense of Large Language Model Behavior? by Ari Holtzman, Peter West, Luke Zettlemoyer

“…Coaxing out desired behavior from pretrained models, while avoiding undesirable ones, has redefined Natural Language Processing (NLP) and is reshaping how we interact with computers. …”
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Perspective: advancing public health education by embedding AI literacy by Jose A. Acosta

“…The rapid emergence of large language models and other AI-driven technologies such as computer vision, predictive analytics, and natural language processing tools—used in applications ranging from epidemiological modeling and policy analysis to real-time health communication—highlights the urgent need to bridge a persistent knowledge gap in structured, competency-based AI training for public health students and professionals. …”
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