THE SEARCH OF OWN IDENTITY AS A POSTMODERN GAME IN THE TEXTS BY SHERMAN ALEXIE by Oksana G. Shostak

“…The article is devoted to the analysis of the texts by Sherman Alexie, a writer of indigenous origin, who is known as an author who seeks to rewrite the history of the American continent with the help of irony. …”
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Detecting Mentions of Green Practices in Social Media Based on Text Classification by Anna Valerevna Glazkova, Olga Vladimirovna Zakharova, Anton Viktorovich Zakharov, Natalya Nikolayevna Moskvina, Timur Ruslanovich Enikeev, Arseniy Nikolaevich Hodyrev, Vsevolod Konstantinovich Borovinskiy, Irina Nikolayevna Pupysheva

“…This paper uses a text corpus consisting of the texts published on the environmental communities of the VKontakte social network. …”
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Economic evaluations of screening strategies for the early detection of colorectal cancer in the average-risk population: A systematic literature review. by Joan Mendivil, Marilena Appierto, Susana Aceituno, Mercè Comas, Montserrat Rué

“…<h4>Results</h4>Of 1,993 publications initially retrieved, 477 were excluded by duplicate review, 1,449 by title/abstract review, and 34 by full-text review. Finally, 33 publications were included in the qualitative synthesis. …”
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English-Arabic Hybrid Semantic Text Chunking Based on Fine-Tuning BERT by Mai Alammar, Khalil El Hindi, Hend Al-Khalifa

“…Semantic text chunking refers to segmenting text into coherently semantic chunks, i.e., into sets of statements that are semantically related. …”
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Innovative monitoring of therapeutic adherence in children with persistent asthma through text messaging by Roxana Aznaran-Torres, Natalia Nombera-Aznaran, Milagros Nombera-Aznaran, Omar Aznaran-Torres

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JASBO: Jaya Average Subtraction Based Optimization with Deep Learning Model for Multi-Classification of Infectious Disease from Unstructured Data by Vian Sabeeh, Ahmed Bahaaulddin A. Alwahhab, Ali Abdulmunim Ibrahim Al-kharaz

“…Accordingly, enriching medical text processing is beneficial in health informatics. …”
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A New PC-Based Text Entry System Based on EOG Coding by Metin Yildiz, Hesna Özbek Ülkütaş

“…In order to improve the writing speed and accuracy of EOG based text entry, a new method based on the coding of eye movements has been suggested in this study. …”
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The BERT Uncased and LSTM Multiclass Classification Model for Traffic Violation Text Classification by Komang Ayu Triana Indah, I Ketut Gede Darma Putra, I Made Sudarma, Rukmi Sari Hartati, Minho Jo

“…This research combines the Uncased model BiDirectional Encoder Representations from Transformer (BERT) with other models to create a text classification model. Long Short-Term Memory (LSTM) architecture trains a model to categorize news articles about traffic violations. …”
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Linguistic and Cultural Component in Pandemic Coronavirus Discourse (German Humorous Texts and Metaphors) by N. A. Trofimova, Ya. A. Manukyan

“…This article is devoted to the linguocultural study of humorous texts/metaphors which appeared in German during the COVID-19 pandemic. …”
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ChatGPT translation vs. human translation: an examination of a literary text by Rafat Al Rousan, Raghad Jaradat, Mona Malkawi

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Evaluating and Securing Text-Based Java Code through Static Code Analysis by Jeong Yang, Young Lee, Amanda Fernandez, Joshua Sanchez

“…After combining the texts for an average rate, the total number of security bugs that were likely to appear was roughly 10% percent. …”
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Digital and print media texts and their comprehension by young adults – preliminary research results by Katarína Fichnová, Łukasz P. Wojciechowski, Edita Štrbová, Györgyi Janková

“…A total of 486 respondents were surveyed, 173 of whom met the criteria for participation in both measurements, with an average age of 21.82. The results (compiled using MS Excel and SPSS software) show that there is no difference in the level of comprehension of media texts presented in print and digital form. …”
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Application of Quantum Recurrent Neural Network in Low-Resource Language Text Classification by Wenbin Yu, Lei Yin, Chengjun Zhang, Yadang Chen, Alex X. Liu

“…Our numerical results demonstrate that the proposed BUQRNN structure achieves a maximum accuracy improvement of 0.993&#x0025; in Bengali text classification tasks while reducing average model complexity by 12&#x0025;. …”
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Short text automatic scoring system based on BERT-BiLSTM model by XIA Linzhong, YE Jianfeng, LUO De’an, GUAN Mingxiang, LIU Jun, CAO Xuemei

“…The experimental results show that compared with other benchmark models of convolutional neural networks(CNN), character-level CNN (CharCNN), long short-term memory (LSTM) and BERT, the short text automatic scoring model based on BERT-BiLSTM achieves the best average value of quadratic weighted kappa coefficient.…”
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Asynchronous H∞ output tracking control for uncertain networked switched systems with mode-dependent average dwell time: an event-driven mechanism by Ji Qi, Yanhui Li

“…By introducing a parameter-dependent Lyapunov–Krasovskii functional and employing the mode-dependent average dwell time (MDADT) method, results on exponential stability and robust [Formula: see text] performance are proposed. …”
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Class Concept Representation From Contextual Texts for Training-Free Multi-Label Recognition by Dong Un Kang, Hyunwoo Lee, Se Young Chun

“…Previous studies typically represent class-related text features by averaging simple handcrafted prompts with class names (e.g., &#x201C;a photo of class name&#x201D;), which lack the contextual information required to effectively handle diverse content and capture the co-occurrence of multiple semantic classes within an image. …”
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Character-Level Adversarial Samples Generation Method Based on Dual-Layer Text Watermark by Houyue Wu, Xianwei Li, Shunxiang Zhang, Honghao Zhu

“…The method embeds explicit and implicit watermarks in the original text to interfere with downstream models. First, we apply character-level gradient optimization to perturb explicit statistical features. …”
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Intelligent text analysis for effective evaluation of english Language teaching based on deep learning by Yuan Ren, Wenjuan Fan, Jinhai Wang

“…This study introduces a Hybrid Feature-based Cross-Prompt Automated Essay Scoring (HFC-AES) model that leverages deep learning for intelligent text analysis. Building on traditional deep neural networks (DNNs), the model incorporates text structure features and attention mechanisms, while adversarial training is employed to optimize feature extraction and enhance cross-prompt adaptability. …”
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The Development of Student Worksheets (LKPD) Based on Android on Observation Text Materials at Vocational School by Siti Rukiyah, Yenny Puspita

“… This study aims to develop an Android-based Student Worksheet (LKPD) on observation text material to improve the effectiveness and involvement of students in learning Indonesian at SMK 'Aisyiyah Palembang. …”
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Incorporating Islamic Stories in Narrative Text Teaching Material for Islamic Boarding School Students by Indah Wardaty Saud

“…This research aimed to develop an English module that contains Islamic values in narrative text material for students at MTs that is valid, practical, and effective. …”
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